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  • Browse content in A - General Economics and Teaching
  • Browse content in A1 - General Economics
  • A10 - General
  • A11 - Role of Economics; Role of Economists; Market for Economists
  • A12 - Relation of Economics to Other Disciplines
  • A13 - Relation of Economics to Social Values
  • A14 - Sociology of Economics
  • Browse content in A2 - Economic Education and Teaching of Economics
  • A20 - General
  • A23 - Graduate
  • Browse content in A3 - Collective Works
  • A31 - Collected Writings of Individuals
  • Browse content in B - History of Economic Thought, Methodology, and Heterodox Approaches
  • Browse content in B0 - General
  • B00 - General
  • Browse content in B1 - History of Economic Thought through 1925
  • B10 - General
  • B12 - Classical (includes Adam Smith)
  • B16 - History of Economic Thought: Quantitative and Mathematical
  • B17 - International Trade and Finance
  • Browse content in B2 - History of Economic Thought since 1925
  • B22 - Macroeconomics
  • B26 - Financial Economics
  • B27 - International Trade and Finance
  • B29 - Other
  • Browse content in B3 - History of Economic Thought: Individuals
  • B31 - Individuals
  • Browse content in B4 - Economic Methodology
  • B40 - General
  • B41 - Economic Methodology
  • Browse content in B5 - Current Heterodox Approaches
  • B50 - General
  • B52 - Institutional; Evolutionary
  • B54 - Feminist Economics
  • B55 - Social Economics
  • Browse content in C - Mathematical and Quantitative Methods
  • Browse content in C0 - General
  • C02 - Mathematical Methods
  • Browse content in C1 - Econometric and Statistical Methods and Methodology: General
  • C10 - General
  • C11 - Bayesian Analysis: General
  • C13 - Estimation: General
  • C14 - Semiparametric and Nonparametric Methods: General
  • C15 - Statistical Simulation Methods: General
  • Browse content in C2 - Single Equation Models; Single Variables
  • C20 - General
  • C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
  • C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
  • C23 - Panel Data Models; Spatio-temporal Models
  • C3 - Multiple or Simultaneous Equation Models; Multiple Variables
  • Browse content in C4 - Econometric and Statistical Methods: Special Topics
  • C45 - Neural Networks and Related Topics
  • Browse content in C5 - Econometric Modeling
  • C50 - General
  • C51 - Model Construction and Estimation
  • C53 - Forecasting and Prediction Methods; Simulation Methods
  • C54 - Quantitative Policy Modeling
  • C55 - Large Data Sets: Modeling and Analysis
  • Browse content in C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
  • C61 - Optimization Techniques; Programming Models; Dynamic Analysis
  • C63 - Computational Techniques; Simulation Modeling
  • C68 - Computable General Equilibrium Models
  • Browse content in C7 - Game Theory and Bargaining Theory
  • C72 - Noncooperative Games
  • C78 - Bargaining Theory; Matching Theory
  • Browse content in C8 - Data Collection and Data Estimation Methodology; Computer Programs
  • C80 - General
  • C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
  • C88 - Other Computer Software
  • Browse content in C9 - Design of Experiments
  • C90 - General
  • C93 - Field Experiments
  • Browse content in D - Microeconomics
  • Browse content in D0 - General
  • D00 - General
  • D01 - Microeconomic Behavior: Underlying Principles
  • D02 - Institutions: Design, Formation, Operations, and Impact
  • D03 - Behavioral Microeconomics: Underlying Principles
  • D04 - Microeconomic Policy: Formulation; Implementation, and Evaluation
  • Browse content in D1 - Household Behavior and Family Economics
  • D10 - General
  • D12 - Consumer Economics: Empirical Analysis
  • D14 - Household Saving; Personal Finance
  • D15 - Intertemporal Household Choice: Life Cycle Models and Saving
  • D18 - Consumer Protection
  • Browse content in D2 - Production and Organizations
  • D21 - Firm Behavior: Theory
  • D22 - Firm Behavior: Empirical Analysis
  • D23 - Organizational Behavior; Transaction Costs; Property Rights
  • D24 - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
  • Browse content in D3 - Distribution
  • D30 - General
  • D31 - Personal Income, Wealth, and Their Distributions
  • D33 - Factor Income Distribution
  • Browse content in D4 - Market Structure, Pricing, and Design
  • D40 - General
  • D42 - Monopoly
  • D43 - Oligopoly and Other Forms of Market Imperfection
  • D44 - Auctions
  • D45 - Rationing; Licensing
  • D47 - Market Design
  • Browse content in D5 - General Equilibrium and Disequilibrium
  • D50 - General
  • D51 - Exchange and Production Economies
  • D53 - Financial Markets
  • D57 - Input-Output Tables and Analysis
  • D58 - Computable and Other Applied General Equilibrium Models
  • Browse content in D6 - Welfare Economics
  • D60 - General
  • D61 - Allocative Efficiency; Cost-Benefit Analysis
  • D62 - Externalities
  • D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
  • D64 - Altruism; Philanthropy
  • D69 - Other
  • Browse content in D7 - Analysis of Collective Decision-Making
  • D70 - General
  • D71 - Social Choice; Clubs; Committees; Associations
  • D72 - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
  • D73 - Bureaucracy; Administrative Processes in Public Organizations; Corruption
  • D74 - Conflict; Conflict Resolution; Alliances; Revolutions
  • D78 - Positive Analysis of Policy Formulation and Implementation
  • Browse content in D8 - Information, Knowledge, and Uncertainty
  • D81 - Criteria for Decision-Making under Risk and Uncertainty
  • D82 - Asymmetric and Private Information; Mechanism Design
  • D83 - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
  • D84 - Expectations; Speculations
  • D85 - Network Formation and Analysis: Theory
  • D86 - Economics of Contract: Theory
  • Browse content in D9 - Micro-Based Behavioral Economics
  • D90 - General
  • D91 - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
  • D92 - Intertemporal Firm Choice, Investment, Capacity, and Financing
  • Browse content in E - Macroeconomics and Monetary Economics
  • Browse content in E0 - General
  • E00 - General
  • E01 - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
  • E02 - Institutions and the Macroeconomy
  • E03 - Behavioral Macroeconomics
  • Browse content in E1 - General Aggregative Models
  • E10 - General
  • E12 - Keynes; Keynesian; Post-Keynesian
  • E13 - Neoclassical
  • E17 - Forecasting and Simulation: Models and Applications
  • Browse content in E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy
  • E21 - Consumption; Saving; Wealth
  • E22 - Investment; Capital; Intangible Capital; Capacity
  • E23 - Production
  • E24 - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
  • E25 - Aggregate Factor Income Distribution
  • E26 - Informal Economy; Underground Economy
  • E27 - Forecasting and Simulation: Models and Applications
  • Browse content in E3 - Prices, Business Fluctuations, and Cycles
  • E30 - General
  • E31 - Price Level; Inflation; Deflation
  • E32 - Business Fluctuations; Cycles
  • E37 - Forecasting and Simulation: Models and Applications
  • Browse content in E4 - Money and Interest Rates
  • E40 - General
  • E42 - Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
  • E43 - Interest Rates: Determination, Term Structure, and Effects
  • E44 - Financial Markets and the Macroeconomy
  • E47 - Forecasting and Simulation: Models and Applications
  • Browse content in E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit
  • E50 - General
  • E51 - Money Supply; Credit; Money Multipliers
  • E52 - Monetary Policy
  • E58 - Central Banks and Their Policies
  • Browse content in E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
  • E60 - General
  • E61 - Policy Objectives; Policy Designs and Consistency; Policy Coordination
  • E62 - Fiscal Policy
  • E63 - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy
  • E64 - Incomes Policy; Price Policy
  • E65 - Studies of Particular Policy Episodes
  • E66 - General Outlook and Conditions
  • Browse content in F - International Economics
  • Browse content in F0 - General
  • F00 - General
  • F01 - Global Outlook
  • F02 - International Economic Order and Integration
  • Browse content in F1 - Trade
  • F10 - General
  • F11 - Neoclassical Models of Trade
  • F12 - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
  • F13 - Trade Policy; International Trade Organizations
  • F14 - Empirical Studies of Trade
  • F15 - Economic Integration
  • F16 - Trade and Labor Market Interactions
  • F17 - Trade Forecasting and Simulation
  • F18 - Trade and Environment
  • Browse content in F2 - International Factor Movements and International Business
  • F20 - General
  • F21 - International Investment; Long-Term Capital Movements
  • F22 - International Migration
  • F23 - Multinational Firms; International Business
  • F24 - Remittances
  • F29 - Other
  • Browse content in F3 - International Finance
  • F30 - General
  • F31 - Foreign Exchange
  • F32 - Current Account Adjustment; Short-Term Capital Movements
  • F33 - International Monetary Arrangements and Institutions
  • F34 - International Lending and Debt Problems
  • F35 - Foreign Aid
  • F36 - Financial Aspects of Economic Integration
  • F37 - International Finance Forecasting and Simulation: Models and Applications
  • F38 - International Financial Policy: Financial Transactions Tax; Capital Controls
  • Browse content in F4 - Macroeconomic Aspects of International Trade and Finance
  • F40 - General
  • F41 - Open Economy Macroeconomics
  • F42 - International Policy Coordination and Transmission
  • F43 - Economic Growth of Open Economies
  • F45 - Macroeconomic Issues of Monetary Unions
  • F47 - Forecasting and Simulation: Models and Applications
  • Browse content in F5 - International Relations, National Security, and International Political Economy
  • F50 - General
  • F51 - International Conflicts; Negotiations; Sanctions
  • F52 - National Security; Economic Nationalism
  • F53 - International Agreements and Observance; International Organizations
  • F55 - International Institutional Arrangements
  • F59 - Other
  • Browse content in F6 - Economic Impacts of Globalization
  • F60 - General
  • F61 - Microeconomic Impacts
  • F62 - Macroeconomic Impacts
  • F63 - Economic Development
  • F64 - Environment
  • F65 - Finance
  • F66 - Labor
  • F68 - Policy
  • F69 - Other
  • Browse content in G - Financial Economics
  • Browse content in G0 - General
  • G01 - Financial Crises
  • Browse content in G1 - General Financial Markets
  • G10 - General
  • G11 - Portfolio Choice; Investment Decisions
  • G12 - Asset Pricing; Trading volume; Bond Interest Rates
  • G13 - Contingent Pricing; Futures Pricing
  • G14 - Information and Market Efficiency; Event Studies; Insider Trading
  • G15 - International Financial Markets
  • G17 - Financial Forecasting and Simulation
  • G18 - Government Policy and Regulation
  • Browse content in G2 - Financial Institutions and Services
  • G20 - General
  • G21 - Banks; Depository Institutions; Micro Finance Institutions; Mortgages
  • G22 - Insurance; Insurance Companies; Actuarial Studies
  • G23 - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
  • G24 - Investment Banking; Venture Capital; Brokerage; Ratings and Ratings Agencies
  • G28 - Government Policy and Regulation
  • Browse content in G3 - Corporate Finance and Governance
  • G31 - Capital Budgeting; Fixed Investment and Inventory Studies; Capacity
  • G32 - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
  • G33 - Bankruptcy; Liquidation
  • G34 - Mergers; Acquisitions; Restructuring; Corporate Governance
  • G35 - Payout Policy
  • G38 - Government Policy and Regulation
  • G39 - Other
  • Browse content in G4 - Behavioral Finance
  • G41 - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
  • Browse content in G5 - Household Finance
  • G50 - General
  • G51 - Household Saving, Borrowing, Debt, and Wealth
  • Browse content in H - Public Economics
  • Browse content in H0 - General
  • H00 - General
  • Browse content in H1 - Structure and Scope of Government
  • H10 - General
  • H11 - Structure, Scope, and Performance of Government
  • H12 - Crisis Management
  • H13 - Economics of Eminent Domain; Expropriation; Nationalization
  • Browse content in H2 - Taxation, Subsidies, and Revenue
  • H20 - General
  • H21 - Efficiency; Optimal Taxation
  • H22 - Incidence
  • H23 - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
  • H24 - Personal Income and Other Nonbusiness Taxes and Subsidies; includes inheritance and gift taxes
  • H25 - Business Taxes and Subsidies
  • H26 - Tax Evasion and Avoidance
  • H29 - Other
  • Browse content in H3 - Fiscal Policies and Behavior of Economic Agents
  • H30 - General
  • H31 - Household
  • Browse content in H4 - Publicly Provided Goods
  • H41 - Public Goods
  • H43 - Project Evaluation; Social Discount Rate
  • H44 - Publicly Provided Goods: Mixed Markets
  • Browse content in H5 - National Government Expenditures and Related Policies
  • H50 - General
  • H51 - Government Expenditures and Health
  • H52 - Government Expenditures and Education
  • H53 - Government Expenditures and Welfare Programs
  • H54 - Infrastructures; Other Public Investment and Capital Stock
  • H55 - Social Security and Public Pensions
  • H56 - National Security and War
  • H57 - Procurement
  • Browse content in H6 - National Budget, Deficit, and Debt
  • H60 - General
  • H62 - Deficit; Surplus
  • H63 - Debt; Debt Management; Sovereign Debt
  • H68 - Forecasts of Budgets, Deficits, and Debt
  • H69 - Other
  • Browse content in H7 - State and Local Government; Intergovernmental Relations
  • H70 - General
  • H71 - State and Local Taxation, Subsidies, and Revenue
  • H73 - Interjurisdictional Differentials and Their Effects
  • H75 - State and Local Government: Health; Education; Welfare; Public Pensions
  • H77 - Intergovernmental Relations; Federalism; Secession
  • Browse content in H8 - Miscellaneous Issues
  • H81 - Governmental Loans; Loan Guarantees; Credits; Grants; Bailouts
  • H83 - Public Administration; Public Sector Accounting and Audits
  • H84 - Disaster Aid
  • H87 - International Fiscal Issues; International Public Goods
  • Browse content in I - Health, Education, and Welfare
  • Browse content in I0 - General
  • I00 - General
  • Browse content in I1 - Health
  • I10 - General
  • I11 - Analysis of Health Care Markets
  • I12 - Health Behavior
  • I14 - Health and Inequality
  • I15 - Health and Economic Development
  • I18 - Government Policy; Regulation; Public Health
  • I19 - Other
  • Browse content in I2 - Education and Research Institutions
  • I20 - General
  • I21 - Analysis of Education
  • I23 - Higher Education; Research Institutions
  • I24 - Education and Inequality
  • I26 - Returns to Education
  • I28 - Government Policy
  • Browse content in I3 - Welfare, Well-Being, and Poverty
  • I30 - General
  • I31 - General Welfare
  • I32 - Measurement and Analysis of Poverty
  • I38 - Government Policy; Provision and Effects of Welfare Programs
  • Browse content in J - Labor and Demographic Economics
  • Browse content in J0 - General
  • J00 - General
  • J01 - Labor Economics: General
  • J08 - Labor Economics Policies
  • Browse content in J1 - Demographic Economics
  • J11 - Demographic Trends, Macroeconomic Effects, and Forecasts
  • J12 - Marriage; Marital Dissolution; Family Structure; Domestic Abuse
  • J13 - Fertility; Family Planning; Child Care; Children; Youth
  • J14 - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
  • J15 - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
  • J16 - Economics of Gender; Non-labor Discrimination
  • J17 - Value of Life; Forgone Income
  • J18 - Public Policy
  • Browse content in J2 - Demand and Supply of Labor
  • J20 - General
  • J21 - Labor Force and Employment, Size, and Structure
  • J22 - Time Allocation and Labor Supply
  • J23 - Labor Demand
  • J24 - Human Capital; Skills; Occupational Choice; Labor Productivity
  • J26 - Retirement; Retirement Policies
  • J28 - Safety; Job Satisfaction; Related Public Policy
  • Browse content in J3 - Wages, Compensation, and Labor Costs
  • J31 - Wage Level and Structure; Wage Differentials
  • J33 - Compensation Packages; Payment Methods
  • J38 - Public Policy
  • Browse content in J4 - Particular Labor Markets
  • J40 - General
  • J41 - Labor Contracts
  • J44 - Professional Labor Markets; Occupational Licensing
  • J46 - Informal Labor Markets
  • J48 - Public Policy
  • Browse content in J5 - Labor-Management Relations, Trade Unions, and Collective Bargaining
  • J58 - Public Policy
  • Browse content in J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers
  • J60 - General
  • J61 - Geographic Labor Mobility; Immigrant Workers
  • J62 - Job, Occupational, and Intergenerational Mobility
  • J63 - Turnover; Vacancies; Layoffs
  • J64 - Unemployment: Models, Duration, Incidence, and Job Search
  • J65 - Unemployment Insurance; Severance Pay; Plant Closings
  • J68 - Public Policy
  • Browse content in J7 - Labor Discrimination
  • J70 - General
  • J71 - Discrimination
  • Browse content in J8 - Labor Standards: National and International
  • J88 - Public Policy
  • Browse content in K - Law and Economics
  • Browse content in K0 - General
  • K00 - General
  • Browse content in K1 - Basic Areas of Law
  • K10 - General
  • K11 - Property Law
  • K12 - Contract Law
  • Browse content in K2 - Regulation and Business Law
  • K20 - General
  • K21 - Antitrust Law
  • K22 - Business and Securities Law
  • K29 - Other
  • Browse content in K3 - Other Substantive Areas of Law
  • K31 - Labor Law
  • K32 - Environmental, Health, and Safety Law
  • K33 - International Law
  • K34 - Tax Law
  • K37 - Immigration Law
  • K38 - Human Rights Law: Gender Law
  • Browse content in K4 - Legal Procedure, the Legal System, and Illegal Behavior
  • K40 - General
  • K41 - Litigation Process
  • K42 - Illegal Behavior and the Enforcement of Law
  • K49 - Other
  • Browse content in L - Industrial Organization
  • Browse content in L1 - Market Structure, Firm Strategy, and Market Performance
  • L11 - Production, Pricing, and Market Structure; Size Distribution of Firms
  • L12 - Monopoly; Monopolization Strategies
  • L13 - Oligopoly and Other Imperfect Markets
  • L14 - Transactional Relationships; Contracts and Reputation; Networks
  • L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change; Industrial Price Indices
  • Browse content in L2 - Firm Objectives, Organization, and Behavior
  • L21 - Business Objectives of the Firm
  • L22 - Firm Organization and Market Structure
  • L24 - Contracting Out; Joint Ventures; Technology Licensing
  • L25 - Firm Performance: Size, Diversification, and Scope
  • L26 - Entrepreneurship
  • Browse content in L3 - Nonprofit Organizations and Public Enterprise
  • L31 - Nonprofit Institutions; NGOs; Social Entrepreneurship
  • L33 - Comparison of Public and Private Enterprises and Nonprofit Institutions; Privatization; Contracting Out
  • L38 - Public Policy
  • Browse content in L4 - Antitrust Issues and Policies
  • L40 - General
  • L41 - Monopolization; Horizontal Anticompetitive Practices
  • L42 - Vertical Restraints; Resale Price Maintenance; Quantity Discounts
  • Browse content in L5 - Regulation and Industrial Policy
  • L50 - General
  • L51 - Economics of Regulation
  • L52 - Industrial Policy; Sectoral Planning Methods
  • L53 - Enterprise Policy
  • L59 - Other
  • Browse content in L6 - Industry Studies: Manufacturing
  • L60 - General
  • L65 - Chemicals; Rubber; Drugs; Biotechnology
  • Browse content in L7 - Industry Studies: Primary Products and Construction
  • L71 - Mining, Extraction, and Refining: Hydrocarbon Fuels
  • Browse content in L8 - Industry Studies: Services
  • L80 - General
  • L81 - Retail and Wholesale Trade; e-Commerce
  • L86 - Information and Internet Services; Computer Software
  • L88 - Government Policy
  • Browse content in L9 - Industry Studies: Transportation and Utilities
  • L90 - General
  • L92 - Railroads and Other Surface Transportation
  • L94 - Electric Utilities
  • L98 - Government Policy
  • Browse content in M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
  • Browse content in M1 - Business Administration
  • M10 - General
  • M11 - Production Management
  • M12 - Personnel Management; Executives; Executive Compensation
  • M13 - New Firms; Startups
  • M14 - Corporate Culture; Social Responsibility
  • M16 - International Business Administration
  • M2 - Business Economics
  • Browse content in M4 - Accounting and Auditing
  • M41 - Accounting
  • M42 - Auditing
  • M48 - Government Policy and Regulation
  • Browse content in M5 - Personnel Economics
  • M50 - General
  • M51 - Firm Employment Decisions; Promotions
  • M53 - Training
  • M54 - Labor Management
  • Browse content in N - Economic History
  • Browse content in N1 - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations
  • N10 - General, International, or Comparative
  • N12 - U.S.; Canada: 1913-
  • N13 - Europe: Pre-1913
  • N14 - Europe: 1913-
  • Browse content in N2 - Financial Markets and Institutions
  • N20 - General, International, or Comparative
  • N23 - Europe: Pre-1913
  • Browse content in N3 - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy
  • N33 - Europe: Pre-1913
  • N34 - Europe: 1913-
  • N36 - Latin America; Caribbean
  • N37 - Africa; Oceania
  • Browse content in N4 - Government, War, Law, International Relations, and Regulation
  • N40 - General, International, or Comparative
  • N44 - Europe: 1913-
  • Browse content in N5 - Agriculture, Natural Resources, Environment, and Extractive Industries
  • N55 - Asia including Middle East
  • Browse content in N6 - Manufacturing and Construction
  • N60 - General, International, or Comparative
  • N64 - Europe: 1913-
  • Browse content in N7 - Transport, Trade, Energy, Technology, and Other Services
  • N70 - General, International, or Comparative
  • Browse content in N9 - Regional and Urban History
  • N94 - Europe: 1913-
  • Browse content in O - Economic Development, Innovation, Technological Change, and Growth
  • Browse content in O1 - Economic Development
  • O10 - General
  • O11 - Macroeconomic Analyses of Economic Development
  • O12 - Microeconomic Analyses of Economic Development
  • O13 - Agriculture; Natural Resources; Energy; Environment; Other Primary Products
  • O14 - Industrialization; Manufacturing and Service Industries; Choice of Technology
  • O15 - Human Resources; Human Development; Income Distribution; Migration
  • O16 - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
  • O17 - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
  • O18 - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
  • O19 - International Linkages to Development; Role of International Organizations
  • Browse content in O2 - Development Planning and Policy
  • O20 - General
  • O21 - Planning Models; Planning Policy
  • O22 - Project Analysis
  • O23 - Fiscal and Monetary Policy in Development
  • O24 - Trade Policy; Factor Movement Policy; Foreign Exchange Policy
  • O25 - Industrial Policy
  • Browse content in O3 - Innovation; Research and Development; Technological Change; Intellectual Property Rights
  • O30 - General
  • O31 - Innovation and Invention: Processes and Incentives
  • O32 - Management of Technological Innovation and R&D
  • O33 - Technological Change: Choices and Consequences; Diffusion Processes
  • O34 - Intellectual Property and Intellectual Capital
  • O35 - Social Innovation
  • O38 - Government Policy
  • Browse content in O4 - Economic Growth and Aggregate Productivity
  • O40 - General
  • O41 - One, Two, and Multisector Growth Models
  • O42 - Monetary Growth Models
  • O43 - Institutions and Growth
  • O44 - Environment and Growth
  • O47 - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
  • O49 - Other
  • Browse content in O5 - Economywide Country Studies
  • O51 - U.S.; Canada
  • O52 - Europe
  • O53 - Asia including Middle East
  • O55 - Africa
  • O57 - Comparative Studies of Countries
  • Browse content in P - Economic Systems
  • Browse content in P0 - General
  • P00 - General
  • Browse content in P1 - Capitalist Systems
  • P10 - General
  • P12 - Capitalist Enterprises
  • P14 - Property Rights
  • P16 - Political Economy
  • Browse content in P2 - Socialist Systems and Transitional Economies
  • P20 - General
  • P25 - Urban, Rural, and Regional Economics
  • Browse content in P3 - Socialist Institutions and Their Transitions
  • P30 - General
  • P36 - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
  • Browse content in P4 - Other Economic Systems
  • P45 - International Trade, Finance, Investment, and Aid
  • P46 - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
  • P48 - Political Economy; Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
  • Browse content in P5 - Comparative Economic Systems
  • P50 - General
  • P51 - Comparative Analysis of Economic Systems
  • Browse content in Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
  • Browse content in Q0 - General
  • Q00 - General
  • Q01 - Sustainable Development
  • Q02 - Commodity Markets
  • Browse content in Q1 - Agriculture
  • Q10 - General
  • Q11 - Aggregate Supply and Demand Analysis; Prices
  • Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
  • Q13 - Agricultural Markets and Marketing; Cooperatives; Agribusiness
  • Q14 - Agricultural Finance
  • Q15 - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
  • Q17 - Agriculture in International Trade
  • Q18 - Agricultural Policy; Food Policy
  • Browse content in Q2 - Renewable Resources and Conservation
  • Q20 - General
  • Q21 - Demand and Supply; Prices
  • Q23 - Forestry
  • Q25 - Water
  • Q27 - Issues in International Trade
  • Q28 - Government Policy
  • Browse content in Q3 - Nonrenewable Resources and Conservation
  • Q30 - General
  • Q32 - Exhaustible Resources and Economic Development
  • Q33 - Resource Booms
  • Q34 - Natural Resources and Domestic and International Conflicts
  • Q35 - Hydrocarbon Resources
  • Q38 - Government Policy
  • Browse content in Q4 - Energy
  • Q40 - General
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Article Contents

I. introduction, ii. narrative, iii. analysis, iv. what are the policy lessons, lessons from the 1930s great depression.

We thank Steve Broadberry and Ken Wallis for helpful discussions. Christopher Adam, Ken Mayhew, and, especially, Christopher Allsopp made very thoughtful comments on an earlier draft. The usual disclaimer applies.

  • Article contents
  • Figures & tables
  • Supplementary Data

Nicholas Crafts, Peter Fearon, Lessons from the 1930s Great Depression, Oxford Review of Economic Policy , Volume 26, Issue 3, Autumn 2010, Pages 285–317, https://doi.org/10.1093/oxrep/grq030

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This paper provides a survey of the Great Depression comprising both a narrative account and a detailed review of the empirical evidence, focusing especially on the experience of the United States. We examine the reasons for and flawed resolution of the American banking crisis, as well as the conduct of fiscal and monetary policy. We also consider the pivotal role of the gold standard in the international transmission of the slump and leaving gold as a route to recovery. Policy lessons for today from the Great Depression are discussed, as are some implications for macroeconomics.

The Great Depression deserves its title. The economic crisis that began in 1929 soon engulfed virtually every manufacturing country and all food and raw materials producers. In 1931, Keynes observed that the world was then ‘in the middle of the greatest economic catastrophe . . . of the modern world . . . there is a possibility that when this crisis is looked back upon by the economic historian of the future it will be seen to mark one of the major turning points’ ( Keynes, 1931 ). Keynes was right; Table 1 shows some of the dimensions.

The Great Depression vs Great Recession in the advanced countries

1929100.0100.07.2100.0
193095.290.814.194.8
193189.279.922.889.5
193283.373.131.476.5
193384.371.729.878.4
193489.075.323.979.6
193594.077.621.981.8
1936100.681.418.085.7
1937105.391.514.397.4
1938105.490.416.587.0
2007100.0100.05.4100.0
2008100.5102.05.8100.6
200997.3102.98.085.0
201099.6103.78.493.3
1929100.0100.07.2100.0
193095.290.814.194.8
193189.279.922.889.5
193283.373.131.476.5
193384.371.729.878.4
193489.075.323.979.6
193594.077.621.981.8
1936100.681.418.085.7
1937105.391.514.397.4
1938105.490.416.587.0
2007100.0100.05.4100.0
2008100.5102.05.8100.6
200997.3102.98.085.0
201099.6103.78.493.3

Sources : 1929–38: Real GDP: Maddison (2010) western European countries plus western offshoots; Price level: League of Nations (1941) ; data are for wholesale prices, weighted average of 17 countries; Unemployment: Eichengreen and Hatton (1987) ; data are for industrial unemployment, weighted average of 11 countries; Trade volume: Maddison (1985) , weighted average of 16 countries.

2007–2010: IMF, World Economic Outlook Database, April 2010.

What are the key questions that we should ask about the Great Depression? Why the crisis began in 1929 is an obvious start, but more important questions are why it was so deep and why it lasted so long? Sustained recovery did not begin in the United States until the spring of 1933, though the UK trough occurred in late 1931 and in Germany during the following year. Why and how did the depression spread so that it became an international catastrophe? What role did financial crises play in prolonging and transmitting economic shocks? How effective were national economic policy measures designed to lessen the impact of the depression? Did governments try to coordinate their economic policies? If not, then why not? Why did the intensity of the depression and the recovery from it vary so markedly between countries?

Even in recovery, both the UK and the USA experienced persistent mass unemployment, which was the curse of the depression decade ( Table 2 ). Why did the eradication of unemployment prove to be so intractable? In 1937–8 a further sharp depression hit the US economy, increasing unemployment and imposing further deflation. What caused this serious downturn and what lessons did policy-makers draw from it?

The Great Depression in the United Kingdom and the United States

1929100.0100.08.0100.0
193099.999.612.380.5
193194.497.216.462.8
193295.193.717.060.2
193396.092.515.474.3
1934102.891.712.990.3
1935106.692.612.0100.0
1936109.993.110.2115.9
1937114.796.68.5108.0
1938118.299.310.188.5
1929100.0100.02.9100.0
193091.496.48.969.4
193185.686.315.635.8
193274.476.222.930.8
193373.474.220.946.2
193481.378.416.245.8
193588.679.914.463.1
1936100.080.710.079.8
1937105.384.19.250.5
1938101.681.712.561.7
1929100.0100.08.0100.0
193099.999.612.380.5
193194.497.216.462.8
193295.193.717.060.2
193396.092.515.474.3
1934102.891.712.990.3
1935106.692.612.0100.0
1936109.993.110.2115.9
1937114.796.68.5108.0
1938118.299.310.188.5
1929100.0100.02.9100.0
193091.496.48.969.4
193185.686.315.635.8
193274.476.222.930.8
193373.474.220.946.2
193481.378.416.245.8
193588.679.914.463.1
1936100.080.710.079.8
1937105.384.19.250.5
1938101.681.712.561.7

Note : Unemployment based on the whole-economy series constructed by Weir (1992) .

Sources : UK: Real GDP: Feinstein (1972) ; GDP deflator: Feinstein (1972) ; Unemployment: Boyer and Hatton (2002) ; Stock market prices: Mitchell (1988) . USA : Carter et al . (2006) .

By the late twentieth century, the memory of international financial seizure in the US and Europe, mass unemployment, and severe deflation had receded. However, during 2007–8, an astonishing and unexpected collapse occurred which caused all key economic variables to fall at a faster rate than they had during the early 1930s. As Eichengreen and O’Rourke (2010) report, the volume of world trade, the performance of equity markets, and industrial output dropped steeply in 2008. Moreover, a full-blown financial crisis quickly emerged. The US housing boom collapsed and sub-prime mortgages, which had been an attractive investment both at home and abroad, now became a millstone round the necks of those financial institutions that had eagerly snapped them up. In April 2007, New Century Financial, one of the largest sub-prime lenders in the US, filed for Chapter 11 bankruptcy. In August, Bear Stearns, an international finance house heavily involved in the sub-prime market, teetered on the verge of bankruptcy. The US Treasury helped finance its sale to J. P. Morgan during the following year. During 2008 the financial crisis developed with a sudden and terrifying force. In September, Freddie Mac and Fannie Mae, which together accounted for half of the outstanding mortgages in the US, were subject to a federal takeover because their financial condition had deteriorated so rapidly. At the same time Lehman Brothers, the fourth largest investment bank in the US, declared bankruptcy. It seemed as if financial meltdown was not only a possibility, it was a certainty unless drastic action was taken.

The crisis was not confined to the US. In August 2007, the French bank, BNP Paribas, suspended three investment funds worth €2 billion because of problems in the US sub-prime sector. Meanwhile, the European Central Bank was forced to intervene to restore calm to distressed credit markets which were badly affected by losses from sub-prime hedge funds. On 14 September 2007, the British public became aware that Northern Rock, which had moved into sub-prime lending after concluding a deal with Lehman Brothers, had approached the Bank of England for an emergency loan. Immediately the bank’s shares fell by 32 per cent and queues formed outside branch offices as frantic depositors rushed to withdraw their savings. Such was the pressure that Northern Rock was nationalized in February 2008. The run on Northern Rock was an extraordinary event for the UK. During the Great Depression no British financial institution failed, or looked like failing, but in 2007 there was immediate depositor panic. It was clear that without some assurance on the security of deposits other institutions were at risk. In 2009, UK GDP contracted by 4.8 per cent, the steepest fall since 1921.

A comparison of the catastrophic banking crisis in 1931 with that of 2007–8 shows that the countries involved in 1931 accounted for 55.6 per cent of world GDP, while the figure for the latter period is 33.5 per cent ( Reinhart, 2010 ; Maddison, 2010 ). This is the most widespread banking crisis since 1931 and it is also the first time since that date that major European countries and the United States have both been involved. The financial tidal wave was totally unexpected and was of such severity that immediate policy action was required to prevent total meltdown. For a while it seemed that the world stood at the edge of an abyss, a short step away from an even greater economic disaster than had occurred three-quarters of a century earlier.

In these circumstances, it has been natural to ask what the historical experience of the crisis of the 1930s has to teach us. The big lesson that has been correctly identified is not to be passive in the face of large adverse financial shocks. Indeed, aggressive monetary and fiscal policies were immediately implemented to halt the financial disintegration. Fortunately, countries were not constrained by the oppressive stranglehold of the gold standard. Both monetary and fiscal policies could be used to support economic expansion rather than to impose deflation or try to restore a balanced budget. Flexible exchange rates gave policy-makers the freedom to use devaluation as an aid to recovery. The exception was in the Eurozone, where weak member states, for example, Greece, Ireland, and Portugal, were forced to deflate their economies ( Eichengreen and Temin, 2010 , this issue).

In the United States, the Fed began aggressively to lower interest rates in January 2008 and by the year’s end had adopted a zero-rate policy. Quantitative easing was used on a massive scale during 2008 through to early 2010 and, as a result, the money supply rose dramatically. The American Restoration and Recovery Act, which became law in early 2009, earmarked $787 billion to stimulate the economy and was described by Christina Romer, distinguished economic historian of the great depression and Chair of the President’s Council of Economic Advisors, as ‘the biggest and boldest countercyclical action in American History’ ( Romer, 2009 ). In the UK, the Bank of England adopted the lowest interest rates since its foundation in 1694, quantitative easing was used aggressively, and bank bail-outs were funded where necessary. In October 2007 the guarantee for UK bank deposits was raised to £36,000 per depositor and further increased to £50,000 during the following year. In both countries, monetary and fiscal policies were pursued on a scale that would have been unacceptable during the 1930s but, crucially, these bold initiatives prevented financial meltdown. Fortunately, the crisis did not encourage the adoption of the beggar-thy-neighbour policies that helped to reduce the level of international trade so drastically during the 1930s.

This represents a dramatic contrast with the policy stances of 80 years ago. Thus far, the upshot is that a repeat of the Great Depression has been avoided ( Table 1 ). A dramatic financial collapse has been averted, economic recovery, though tenuous, is progressing, and unemployment has not reached the levels that some commentators feared when the downturn began. As we shall see, the ‘experiment’ of the 1930s shows only too clearly the likely outcome in the absence of an aggressive policy response.

The 1930s has more to offer. In particular, we can look not only at the downturn but also the recovery phase. Here the issues that had to be addressed included re-regulation of the banking system, avoiding a double-dip recession, and dealing with the various legacies of the depression which included long-term unemployment and the need for a new, post-gold-standard, macroeconomic policy framework.

This paper proceeds in the following way. Section II provides a narrative of events, section III delivers an analysis of the 1930s depression, and section IV identifies important policy lessons from that experience.

(i) The context of the Great Depression

It is sensible to begin an investigation of the Great Depression with an analysis of the world’s most powerful economy, the USA. During the 1920s America became the vital engine for sustained recovery from the effects of the Great War and for the maintenance of international economic stability. Following a rapid recovery from the post-war slump of 1920–1, Americans enjoyed until the end of the decade a great consumer boom, which was heavily dependent upon the automobile and the building sectors. High levels of investment, significant productivity advances, stable prices, full employment, tranquil labour relations, high wages, and high company profits combined to create the perfect conditions for a stock-market boom. Many contemporaries believed that a new age of cooperative capitalism had dawned in sharp contrast to the weak economies of class-ridden Europe ( Barber, 1985 ).

America was linked to the rest of the world through international trade as the world’s leading exporter and second, behind the UK, as an importer. Furthermore, after 1918 America replaced Britain as the world’s leading international lender. The First World War imposed an onerous and potentially destabilizing indebtedness on many of the world’s economies. Massive war debts accumulated by Britain and France were owed to both the US government and to US private citizens. Britain and France sought punitive damages from Germany in the form of reparations. But the post-war network of inter-government indebtedness eventually involved 28 countries, with Germany the most heavily in debt and the US owed 40 per cent of total receipts ( Wolf, 2010 , this issue).

Between 1924 and 1931 the US was responsible for about 60 per cent of total international lending, about one-third of which was absorbed by Germany. American investors, attracted by relatively high interest rates, enabled Germany both to discharge reparations responsibilities and to fund considerable improvements in living standards. Austria, Hungary, Greece, Italy, and Poland, together with several Latin American countries, were also considered attractive opportunities by US investors. By paying for imports and by investing overseas the US was able to send abroad a stream of dollars, which enabled other countries not only to import more goods but also to service their international debts. The fact that a high proportion of the borrowing was short term did not disturb the recipients ( Feinstein et al ., 1997 ).

The majority of the world’s economies were linked to each other by the gold standard, which had been suspended during the First World War, but its restoration was considered a priority by virtually all the major economic powers. It is easy to understand the appeal of the gold standard to contemporaries. The frightening inflations after 1918 and the severe deflation of 1920–1 made policy-makers yearn for a system that would provide international economic and financial stability. To policy-makers the gold standard represented a state of normality for international monetary relations; support for it was a continuation of the mindset that had become firmly established in the late nineteenth century ( Eichengreen and Temin, 2010 ). There was a widespread belief that the rules of the gold standard had imposed order within a framework of economic expansion during the 40 years before 1914 and order was certainly required in the post-war world. In particular, contemporaries believed that the discipline of the gold standard would curb excessive public spending by politicians who would fear the subsequent loss of bullion, an inevitable consequence of their profligacy. Unfortunately, the return to gold was accomplished in an uncoordinated fashion. Several countries (e.g. Belgium and France) adopted exchange rates that were not only significantly below their 1913 levels, but also provided a significant competitive advantage.

The reverse was true for the UK, which, in 1925, returned to gold at the 1913 exchange rate after a deflationary squeeze had made this possible. In general, financiers and bankers supported the return to gold at the pre-war exchange rate, but, as a result, sterling was overvalued and Britain’s export industries were disadvantaged. The achievement of international competitiveness through deflation was the dominant force determining domestic economic policy during the 1920s. Unfortunately, UK exports suffered from war-induced disruption. Markets which had been readily exploited before 1914 offered much reduced opportunities after 1918. UK difficulties would have been more manageable if the bulk of Britain’s exports had been in categories that were expanding rapidly in world markets. Unfortunately coal, cotton and woollen textiles, and shipbuilding faced severe international competition. Over-capacity led to high and persistent structural unemployment in the regions where these industries were dominant. During the 1920s, UK unemployment was double the pre-1913 level and also higher than in all the other major economic powers. On average, each year between 1923 and 1929, almost 10 per cent of the UK insured workforce was unemployed. The jobless were concentrated in the export-oriented staple industries. In those parts of the economy not exposed to foreign competition, unemployment was closer to pre-war levels.

A further problem for Britain, and many other countries too, was the uneven distribution of gold stocks. The US was gold rich throughout the 1920s, but, after the stabilization of the franc in 1926, the Bank of France began to sell its foreign exchange in order to purchase bullion ( Clarke, 1967 ). By 1929, the US and France had accumulated nearly 60 per cent of the world’s gold stock and their central banks sterilized much of their gold so that it did not inflate the money supply. In other words, both countries kept a high proportion of the world’s gold stock in their vaults and withdrawn from circulation. As a result, other countries were forced to deflate in order to compensate for a shortage of reserves. Unfortunately, the gold standard imposed penalties on countries which lost gold while the few which gained did so with impunity.

Gold shortages compelled UK policy-makers to impose relatively high interest rates in order to attract foreign funds—hot money—which bolstered the country’s inadequate bullion reserves. Unfortunately, potential domestic investors suffered as the real cost of credit rose. Nevertheless, as the membership of the gold standard club grew in the 1920s, policy-makers congratulated themselves that all major trading countries were bound together in a system that was dedicated to the maintenance of economic stability.

With the benefit of hindsight, it is clear that the international economy was in a potentially precarious position in 1929. Continuing prosperity was dependent upon the capacity of the US economy to absorb imports and to maintain a high level of international lending. If an economic crisis struck the US, how would the Federal Reserve deal with it? The Fed, created in 1913, was a relatively untested central bank. Would it act aggressively as lender of last resort if the banking system became stressed? Would its decentralized division into 12 regional reserve banks with monetary policy formulated by a seven-member Board demonstrate weakness or strength in fighting a depression? And, should a crisis materialize, would the gold standard’s rules force contracting economies to deflate, thus worsening their plight rather than providing a supportive international framework?

(ii) From boom to slump

In January 1928 the Federal Reserve ended several years of easy credit and embarked on a tight money policy. The Fed began a sale of government securities and gradually raised the discount rate from 3.5 to 5 per cent. The Fed was fully aware that a sudden rise in interest rates could be destabilizing for business and might bring a period of economic prosperity to an unhappy conclusion. To avoid this possibility, the monetary authorities aimed gently to deflate the worrying bubble on Wall Street by making bank borrowing for speculation progressively more expensive. Monetary policy-makers believed that by acting steadily rather than suddenly, speculation could be controlled without damaging legitimate business credit demands. It seemed a good idea at the time, but unfortunately this policy had serious unforeseen domestic and international repercussions. The new higher rates made more funds from non-bank sources available to the ever-rising stock market, and speculation actually increased. Many corporations used their large balances to fund broker’s loans, and investors who normally looked overseas found loans to Wall Street a more attractive option. Unfortunately, countries that had become dependent on US capital imports, for example, Germany, were suddenly deprived of an essential support for their fragile economies.

Adversely affected by Fed policies, the US economic boom reached a peak in August 1929 and after a few months of continuously poor corporate results the confidence of investors waned and eventually turned into the panic which became the Wall Street Crash in October 1929. After the stock-market collapse the Fed embarked on vigorous open-market operations and reduced interest rates. The Wall Street crash markedly diminished the wealth of stock holders and could well have adversely affected the optimism of consumers. But in late 1929 the market seemed to stabilize close to the level it had reached in early 1928. For several months it appeared that the US economy was recovering after a dramatic financial contraction. Overseas lending revived and interest rates throughout the world responded to the Fed’s monetary easing. Optimists saw no reason why vigorous economic expansion should not be renewed, as it had been in 1922.

The optimists were wrong. From the peak of the 1920s expansion in August 1929 to the trough in March 1933 output fell by 52 per cent, wholesale prices by 38 per cent, and real income by 35 per cent. Company profits, which had been 10 per cent of GNP in 1929, were negative in 1931 and also during the following year. The collapse in demand centred on consumption and investment which experienced unprecedented falls. Gross private domestic investment, measured in constant prices, had reached $16.2 billion in 1929; the 1933 total was only $0.3 billion. In 1926, gross expenditure on new private residential construction was $4,920m; in 1933 the figure had fallen to a paltry $290m. Consumer expenditure at constant prices fell from $79.0 billion in 1929 to $64.6 billion in 1933. Durables were especially affected; in 1929, 4.5m passenger vehicles rolled off assembly lines; in 1932, 1.1m cars were produced by a workforce that had been halved. Automobile manufacture and construction had been at the heart of the 1920s economic expansion but, as they fell, supporting industries tumbled, too. Inventories were run down, raw material purchases reduced to a minimum, and workers laid off. In particular, companies producing machinery, steel, glass, furniture, cement, and bricks faced a collapse in demand. The number of wage earners in manufacturing fell by 40 per cent, but many lucky enough to hang on to their jobs worked fewer hours and experienced pay cuts. The producers of non-durable goods, such as cigarettes, textiles, shoes, and clothing, faced more modest declines in output and employment.

The most dramatic price falls were in agriculture and a fall of 65 per cent in farm income was unsustainable for farm operators, especially if they were in debt. Unlike manufacturers, individual farms did not reduce output in response to low prices. Indeed, their reaction to economic distress was to produce more in a desperate attempt to raise total income. The result was the accumulation of stocks which further depressed prices. Nor could farmers lay off workers, as most only employed family members. As banks and other financial institutions foreclosed on farm mortgages, distress auctions caused so much local anger that the Governors of some states were obliged to suspend them. Farmers who were unable to pay their debts put pressure on the undercapitalized unit banks that served rural communities. As bank failures spread unease among depositors, the natural reaction of institutions was to engage in defensive banking. Loans were called in and lending, even for deserving cases, was curtailed; the banks gained liquidity by bankrupting many of their customers. Rural families were forced to reduce their purchases of manufactured goods, adding to urban unemployment. The bitter irony of starving industrial workers unable to buy food that farmers found too unprofitable to sell helped to undermine faith in the free-market economic system.

The slide from mid-1929 to spring 1933 was not smooth and continuous. Periodically, it seemed that the depression had bottomed out and recovery was under way. In spite of a destabilizing fall in consumption during 1930 ( Temin, 1976 ) it seemed possible that the economy would revive. This expectation was quashed by a wave of bank failures at the end of the year. Although mostly confined to small banks in the south east of the US, the failures gave depositors a warning sign. During the first half of 1931 the economy revived, but hopes were dashed in the aftermath of Britain’s abandonment of the gold standard in September, when a wave of bank failures served to undermine the diminishing faith of depositors who rushed to withdraw their money, thus making the closure of their banks inevitable. Many kept their withdrawn funds idle rather than trust another bank with their savings. Economic expansion in the summer and autumn of 1932 was reversed during the policy vacuum between Roosevelt’s electoral victory in November 1932 and his inauguration in March 1933. The uncertainties present during this ‘lame duck’ period led to a further wave of bank failures which became so serious that, by the time Roosevelt delivered his inaugural address in March 1933, the Governors of the vast majority of states had declared their banks closed to prevent almost certain failure ( Calomiris, 2010 , this issue). There was a sharp difference between the British experience, where no financial institution failed, and that of the US, where financial paralysis was the end result.

Friedman and Schwartz (1963) emphasized the contraction by one-third of the US money stock between 1929 and 1933, a reduction which they believe explains fully the severity of the depression. They accused the Federal Reserve of pursuing perverse monetary policies which transformed a recession into a major depression. It was, however, a combination of monetary and non-monetary causes, varying in intensity during these critical years, which accounts for the depth of this crisis (Gordon and Wilcox, 1981 ). Nevertheless, as Fishback (2010, this issue) shows, the judgement of the Fed was at times seriously flawed, although policy errors are sometimes more apparent with the benefit of hindsight. For example, because nominal interest rates had been reduced to a very low level, the Fed believed that it was pursuing an appropriate easy money policy. Indeed, it was difficult to see how interest rates could be forced lower. However, the monetary authorities failed to take account of the savage deflation which caused real interest rates to rise to punitive levels for borrowers. The central bank was convinced that it was pursuing an easy money policy when the reverse was the case. Moreover, when faced with a policy choice, the Fed always opted to follow the gold standard rule. As a result, during late 1931, and also during the winter of 1932–3, the Fed raised interest rates to protect the dollar from external speculation in order to halt gold losses. Unfortunately, this was the exact reverse of the low interest rate, easy credit policy needed to save the battered banking system. Little wonder that so many banks closed their doors. There is no doubt that monetary policy had serious adverse effects during the worst depression years.

Unemployment was one of the great curses of the depression. Widely accepted estimates show that the percentage of the US civilian labour force without work rose from 2.9 in 1929 to 22.9 in 1932 ( Table 2 ). Many classified as employed were on short time and some had also experienced wage cuts. Unlike Britain, the US had no national system of unemployment benefits; the jobless were subjected to a harsh regime which included dependence on miserly, poorly administered, local relief. Those most affected included the young, the old, and ethnic minorities, whose unemployment rates were relatively high. In addition, social workers stressed that those who had been out of work for long periods became increasingly unattractive to employers. Loss of income and employment uncertainty combined to reduce consumer spending.

Even fortunates who felt secure in their jobs and whose real incomes had risen were deterred by the persistent deflation. Why buy a motor vehicle, or a house, now, when both would be significantly cheaper in a few months’ time? Deflation increased the burden of existing debt and acted as a warning against the accumulation of new obligations. Deflation also intensified business uncertainty and further undermined the confidence necessary to make investment decisions. Traditionally, price falls were seen as one of the natural self-correcting mechanisms of the market economy. Deflation automatically led to a rise in real incomes, it was argued, and consumers would soon start a purchasing drive that would lift the economy out of recession. The persistent price falls over such a long period, however, brought about a paralysis in consumption and investment. Potential spenders wanted to wait until the price falls had reached their nadir before they committed themselves to major purchases and new debt.

Herbert Hoover was hard-working, energetic, and intelligent. He probably had a greater grasp of contemporary economics than any twentieth-century president and was confident enough to be his own economic advisor ( Stein, 1988 ). He was familiar with the current literature on business cycles and was not a man to stand aside and watch as recession accelerated into depression ( Bernstein, 2001 ). Hoover publicly urged business leaders to share scarce work rather than add to the unemployed, and pleaded with them not to cut wage rates, which had been the instant response of employers in 1920–1. Big business held out against wage cuts until mid-1931 when, faced with overwhelming financial losses, the dam broke and they could resist no more. Nominal wage cuts became common, as did mass lay-offs. Some critics see Hoover’s unwavering commitment to high wages and the maintenance of purchasing power as a serious mistake, which added to the severity of the downturn ( Ohanian, 2009 ; Smiley, 2002 ).

Hoover refused to listen to the pleas of 1,038 American economists who, in 1930, urged him to veto the Smoot–Hawley tariff bill. When it became law, this legislation raised US import duties and ultimately led to retaliatory action throughout the world. Not surprisingly, US foreign trade declined once the depression began to bite. The value of US exports was $7 billion in 1929 but only $2.5 billion in 1932; imports declined from $5.9 billion to $2 billion during the same period. Nevertheless, the US balance of payments remained in surplus. It was, however, the rapid income decline in countries that wanted to purchase US goods which was the most significant factor in causing the contraction in international trade ( Irwin, 1998 ). Hoover’s support of tariff increases demonstrated his consistency. His priority was to protect companies that paid high wages from competition from cheap imported goods ( Vedder and Gallaway, 1993 ).

In early 1932, following Hoover’s lead, Congress approved the Reconstruction Finance Corporation (RFC) with a remit to lend to distressed banks. The hope that the RFC, acting as lender of last resort, would bring stability to the financial system was compromised by a Congressional decision to publicize the names of all institutions that approached the RFC for financial help. Hoover also authorized a large increase in federal spending on work relief projects, but the federal budget, at 4 per cent of GNP, was too small to make a noticeable dent in the growing social distress. Inevitably, declining revenue forced the budget into deficit for fiscal year 1931. The deficit was too small to exert an expansionary effect on the economy but it did enable Roosevelt to attack Hoover during the election campaign of 1932 for failing to appreciate the necessity of economy in government. Ironically, the budget deficit of 1931 was the most expansionary of the entire decade, though no one at the time saw this as a benefit. In 1932, Hoover became so concerned about the domestic and foreign disapproval of the federal budget deficit that spending was reduced and the Revenue Act (1932) introduced a raft of substantial tax increases. In spite of his efforts, the budget remained in the red and, not surprisingly, unemployment remained stubbornly high. Unfortunately, Hoover’s understanding of contemporary economics led him to an unshakeable belief in the gold standard. He shared with many contemporary economists the view that fiscal and monetary policies must be directed to support gold rather than directly to promote domestic economic expansion or bank stability.

(iii) The transmission of the depression

It is easy to see that the year-on-year reduction in imports by the main industrial powers and the collapse of international lending placed many economies in great difficulty. In particular, a regular flow of dollars had been crucial to debtor countries, enabling them to buy goods and services and discharge their debt payments. Once the flow dried up, countries had to confront balance-of-payment and debt-repayment problems which were entirely unanticipated. Primary producers had to act quickly to reduce imports and boost their exports as the terms of trade moved sharply against them. Desperate to curb gold and foreign-exchange loss, they used restrictive monetary and fiscal policies to deflate their economies savagely. Public spending was slashed, wages were cut, and misery increased, but all to no avail. It was impossible to earn sufficient foreign currency, or to attract new international loans. Once the cure of deflation was judged more painful than the disease it was supposed to remedy, default on international loans was inevitable. When this happened, foreign investors panicked. In 1931, US lending virtually ceased and did not recover during the rest of the decade.

The key element in the transmission of the Great Depression, the mechanism that linked the economies of the world together in this downward spiral, was the gold standard. It is generally accepted that adherence to fixed exchange rates was the key element in explaining the timing and the differential severity of the crisis. Monetary and fiscal policies were used to defend the gold standard and not to arrest declining output and rising unemployment.

Contemporaries believed that the gold standard imposed discipline on all economies wedded to the system. But in operation the gold standard was not even-handed. As we have seen, states accumulating gold were not forced to inflate their currencies, but when gold losses occurred governments and central banks were expected to take immediate action in order to stem the flow. The action was always deflation but never devaluation ( Temin, 1993 ). Between 1927 and 1932 France experienced a surge of gold accumulation which saw its share of world gold reserves increase from 7 to 27 per cent of the total. Since the gold inflow was effectively sterilized, the policies of the Bank of France created a shortage of reserves and put other countries under great deflationary pressure. Irwin (2010) concludes that, on an accounting basis, France was probably more responsible even than the US for the worldwide deflation of 1929–33. He calculates that through their ‘gold hoarding’ policies the Federal Reserve and the Bank of France together directly accounted for half the 30 per cent fall in prices that occurred in 1930 and 1931. This illustrates a serious flaw in the operation of the interwar gold standard.

When US capital flows to Germany began to dry up in 1928, the German economy was already experiencing an economic downturn and, at the same time, had a formidable reparations debt to discharge. Germany was forced to deflate, even though already in the early stages of a depression. Soon mounting unemployment and violent political unrest gripped the country. In May 1931 Austria’s largest bank, the Credit-Anstalt, experienced such difficulty that speculators attacked the Austrian schilling. Austria’s gold and foreign-exchange reserves were inadequate and soon exhausted and the country was forced to introduce exchange controls. Speculators then turned to Germany, which had a weak economy, a suspect banking system, a high level of short-term debt, and worrying political divisions.

This was an opportunity for decisive coordinated intervention by the major economic powers. A flawed German economy faced the possibility of a catastrophic financial crisis, which, if not contained, could have serious ramifications for others. Who among the great powers would help? Britain was too financially enfeebled to offer more than marginal assistance. In June 1931 President Hoover acted by unilaterally proposing a moratorium, for 1 year, on reparation and war debts payments. The moratorium referred only to inter-government debt. Hoover expected private debts to be honoured. His intervention was opposed by the French, who were furious at the lack of consultation but more fundamentally believed that they lost more than they gained from the moratorium. France, with ample gold reserves, was in a position to assist, but the political conditions attached to its offer of help made it impossible for Germany to accept. In August 1931, Germany abandoned the gold standard, introduced exchange controls, and halted the free flow of gold and marks. Even though this was a time of falling prices, the horrors of post-war hyperinflation were fresh in the memory of the German public and policy-makers. As a result, the mark was not devalued and the government continued with the draconian deflation that had been introduced in accordance with gold-standard rules.

The speculative wave then engulfed sterling. There had been obvious signs of recession in the UK as early as 1928, when the curtailment of US lending affected UK international trade in services. About 40 per cent of UK overseas trade was with primary producing countries, which were forced immediately to restrict their spending when US credit dried up ( Solomou, 1996 ). The crisis worsened in 1929 as world demand collapsed and the UK experienced a sharp fall in the export of goods and services. Following gold-standard rules, real interest rates rose to defend sterling and public-expenditure cuts were imposed in an attempt to achieve budget balance. Like Austria and Germany, Britain was faced with the withdrawal of foreign deposits as the holders of sterling anticipated the potential loss to them from devaluation. The struggle to defend the pound was all to no avail. On 21 September Britain was forced to leave the gold standard, the first major country to do so, and devalue sterling. The devaluation was substantial; sterling, once free to float, fell by 25 per cent against the dollar, though, of course, it is the multilateral effects of devaluation rather than the bilateral which are the most significant. Speculators then attacked the US dollar, which, as we have seen, was defended by the Federal Reserve, though at the cost of compromising the banking system and intensifying an already serious depression.

Curiously, once free from the need to pursue a deflationary monetary policy to defend sterling, the Bank of England actually increased the bank rate. In spite of experiencing one of the largest price falls in modern history, policy-makers worried about the inflationary effects of devaluation. Fortunately, Britain had not lived through the horrors of hyperinflation, or, indeed, the high levels of inflation endured by the French before the stabilization of the franc in 1926. The fears of financial instability quickly subsided and from early 1932 interest rates were reduced and a nominal interest rate of 2 per cent was a persistent feature of the British economy for the remainder of the 1930s. In contrast, fiscal policy was not expansionary until the end of the decade and the attraction of an annual balanced budget remained ( Middleton, 2010 , this issue).

It is clear that unemployment was the major effect of the Great Depression as far as the UK is concerned. The proportion of workers who were unemployed rose to a peak of 17 per cent in 1932 ( Table 2 ). However, other indicators show that the impact of the crisis was relatively benign. No British bank or building society failed during these troubled years. Between 1929 and 1931, the peak-to-trough contraction in real GDP was a mere 5.4 per cent ( Table 2 ). Even in these crisis years, consumption remained relatively stable. The early exit from the gold standard and the robustness of the financial system created a platform for UK recovery which could be exploited. Indeed, between 1929 and 1937, the peak of 1930s performance, real GDP increased by 16.4 per cent. Unfortunately, 10.1 per cent of the insured population remained without work in 1938 and the numbers of long-tern unemployed were seemingly an intractable socio-economic problem ( Hatton and Thomas, 2010 , this issue). Nevertheless, the UK depression experience is a sharp contrast with that endured by the US ( Table 2 ). Even today, no US macro textbook would be complete without a section analysing the causes and the course of the Great Depression. In the UK, apart from persistent unemployment, the downturn was not deep and was over quickly, and the recovery was impressive.

However, 1931 was a watershed for UK economic policy. The gold standard was abandoned and sterling was devalued. Monetary policy was freed from its obligation to support the gold standard and could be used as a tool for economic expansion. The crisis also provided the incentive for Britain to turn away from an emotional commitment to free trade. The Imports Duties Act (1932) imposed a general 10 per cent duty on a range of imports. Within a few months, the Imperial Preference system instituted agreements between Commonwealth countries and Britain to favour each other’s exports.

Early UK recovery was helped by a favourable exchange rate, though within a few years that significant advantage had gone, as other countries devalued and as British tariffs improved the domestic trade balance. It was not foreign trade but a reflationary monetary policy that drove recovery. Cheap money stimulated the housing industry and, with building societies playing a promotional role, this sector became a visible sign of prosperity, particularly in the Midlands and the south-east of England. Unfortunately, the regions dominated by the old staple industries remained depressed. Apart from unemployment, UK macro performance during the recovery period was impressive. Between 1932 and 1937, GDP growth averaged 4 per cent ( Table 2 ).

In 1931, 47 countries were members of the gold-standard club. By the end of 1932 the only significant members were: Belgium, France, Netherlands, Poland, Switzerland, and the US ( Eichengreen, 1992 ). The year 1931 was a dramatic one, when a major financial crisis dealt a mortal blow to the gold standard while output and prices continued to decline throughout the world. Far from providing stability and fulfilling the expectations of its supporters, the gold standard was instrumental in forcing economies to deflate during a period of intense depression. Indeed, departure from gold was a prerequisite for recovery.

For a while the countries freed from the shackles of gold seemed overwhelmed by the enormity of their action. Policy-makers were concerned that devaluation might lead to inflation, so there was no immediate rush for expansionary economic policies. However, by 1935 it was clear that all the countries that had devalued their currencies in 1931 had performed far better than those who had opted for exchange control. In 1933, the US decided to leave the gold standard and devalue the dollar as it was clear that New Deal policies designed to inflate the economy were inconsistent with the rules of the game. Unlike Britain, the US was not forced to leave the gold standard but chose to do so. The performance of the gold bloc, headed by France, was increasingly dismal and in 1936 France, too, abandoned gold.

Devalued currencies gave exports a competitive edge which trade rivals remaining on gold sought to blunt by the imposition of tariffs, quotas, and bi-lateral trade agreements ( Eichengreen and Irwin, 2009 ). In Nazi Germany, a drive for greater self-sufficiency was added to strict exchange controls and these policies were accompanied by a reliance on bilateral rather than multilateral trade ( Obstfeld and Taylor, 1998 ). Japan and Italy also provide examples of autarkic imperialism. Liberal internationalism was no more. Individual countries, or groups, strove to minimize their imports and maximize their exports. Trade restrictions increased dramatically during the 1930s but even when there was some relaxation it was not multinational. With the Reciprocal Trade Agreements Act (1934), the US Congress authorized the President to negotiate bilateral tariff reductions with other countries. By 1939 the US had signed 20 treaties with countries accounting for 60 per cent of its trade ( Findlay and O’Rourke, 2007 ). Unfortunately, during the 1930s, multilateral trade gave way to bilateral arrangements as trading within blocs, of which Imperial Preference was one, grew more common. The outcome was trade diversion rather than creation.

(iv) The post-gold-standard world

Roosevelt (FDR) promised the American people ‘bold persistent experimentation’ and, although scholars see in the New Deal continuity with America’s past, the public saw decisive action and lots of it. Immediately on entering office the new President addressed the banking problem. A bank holiday closed all the nation’s banks and the President assured the public that they would only be permitted to re-open when an independent examination had declared them sound. Roosevelt’s assurances, and a raft of new regulations designed to curb the failings which Congress believed had helped to cause the depression, ushered in a period of banking stability. FDR’s decision to leave the gold standard and significantly devalue the dollar horrified conservatives but banished the need for the Fed to impose deflationary policies on a stricken economy. Indeed, after devaluation, the US became a safe haven for gold, especially from a troubled Europe. The gold flows generated an expansion of the money supply which helped to stimulate recovery.

From the exceptionally low base of 1933, real GDP grew rapidly at an average of over 8 per cent a year until 1937. After a check, growth between 1938 and 1941 was, at over 10 per cent, even more rapid. Between 1929 and 1933 real GDP fell by 27 per cent; between 1933 and 1937 it rose by 36 per cent ( Table 2 ). In 1937, the best year of the decade, output had just reached 1929 levels and there were as many people at work as there had been in the prosperous year of 1929. Unfortunately the labour force had grown by 6m and the unemployment rate, at 14.3 per cent, remained unacceptably high. Private investment failed to revive satisfactorily. Total gross private domestic investment (current $) rose from $1.4 billion in 1933 to $11.8 billion in 1937. The figure for 1929 was $16.2 billion. The recession of 1937–8 was a sudden and devastating blow to an economy functioning far below full capacity. Private investment was driven down to $6.5 billion and full recovery was held back for several years. The economy did not reach its long-run trend until June 1942.

The New Deal is difficult to evaluate economically, partly because of its lack of consistency ( Fishback, 2007 ). In the first New Deal, 1933–5, Roosevelt attacked the surpluses which many commentators believed had dragged the economy down. Farmers were paid to reduce the acreage on which they grew specified crops in the hope that reduced output would increase farm income and, indeed, revive the entire economy. The National Industrial Recovery Act (NIRA) encouraged cooperating businesses to curb competition, which was seen as potentially destabilizing as it led to price reductions. Minimum wages and maximum hours were supposed to increase consumer spending power and help spread the available work. It was a misguided attempt to regenerate the economy by producing less. This bureaucratic nightmare was declared unconstitutional by the Supreme Court in 1935.

FDR now abandoned the attempt to cooperate with business and advocated a more competitive society. He denounced the ‘economic royalists’, who, he maintained, were trying to thwart the will of the people by undermining his policies. In order to protect the vulnerable, who would be exposed to exploitation in this new competitive environment, the formation and growth of trades unions was promoted by the Labor Relations Act (1935), more popularly known as the Wagner Act. Roosevelt gained a stunning re-election victory in 1936 but by the following year the 1937-38 recession necessitated another change in direction. FDR, who had always disliked budget deficits, now came to accept that spending was a vital tool for recovery. Extra spending did bring about a revival.

The President’s frequent changes of direction are seen by his opponents as cynicism. His supporters praise him for pragmatism. It is hard to think of the twists and turns of New Deal policies having a uniformly positive effect on economic performance. On the positive side, the achievement of bank stability was an important plus, but Roosevelt’s poor relations with business and the administration’s inclination to balance increases in spending with new taxes did not create a favourable environment for private investment to flourish and negated the expansionary effects of federal spending.

The New Deal was not Keynesian. Neither fiscal nor monetary policy was used as a tool for economic revival. The reaction of many contemporaries to the problem of unemployment, for example, was to promote polices that would share work, promote high wages to aid purchasing power, remove married women from the workforce, and institute a compulsory age of retirement. Although the federal budget was in deficit for every year during Roosevelt’s presidency, these deficits were too small and unplanned to be described as Keynesian ( Fishback, 2010 ). The growing money stock did exert a positive influence, but its cause was the substantial flow of gold entering the banking system from troubled Europe rather than direct policy action by the Fed ( Romer, 1992 ). The inflow also imposed costs even though it provided advantages. The Fed became concerned at the potentially inflationary excess reserves held by member banks and, in 1936 and 1937, raised reserve requirements. The banks responded by reducing their lending. Coincident with this restriction, federal spending was reduced. The combination of restrictive monetary and fiscal policies plunged the economy into a serious yearlong downturn during which real GDP fell by 10 per cent and unemployment rose to 12.5 per cent. Fortunately, the recession bottomed out in May 1938, as both fiscal and monetary policy became expansionary. Recovery was rapid but prices continued to fall for another 2 years. This recession was a serious self-induced wound.

(v) Unemployment

Hatton and Thomas (2010) offer an explanation for the mass unemployment in both the US and the UK during the 1930s. Unemployment in the UK during the 1930s was similar to that of the 1920s. It was concentrated in the regions where the old staple industries, cotton textiles, coal mining, ship building, and iron and steel, dominated. However, in other parts of the country, a private housing boom, encouraged by low interest rates and rising real wages, created many jobs and there was employment growth, too, in the manufacture of consumer durables and in the service sector. By the mid-1930s, UK unemployment was primarily regional and structural.

In contrast, the US had enjoyed low unemployment during the 1920s. The stubborn refusal of unemployment to decline to pre-Depression levels as economic recovery got under way ensured that expenditure on relief was a new and major item in the federal budget. There were other differences between the 1920s and the 1930s. The Roosevelt administration encouraged the growth of trades unions and in the first New Deal, minimum wages and maximum hours raised both real wages and labour costs. Indeed, the support of both Hoover and Roosevelt for polices designed to prevent wage rates from falling helps to explain the extraordinary growth in money wages during a period of mass unemployment. The employed benefited, but real wages increased above market-clearing levels and, as a result, unemployment persisted.

Unlike British policy-makers, the New Dealers were totally opposed to ‘dole’ payments, which they feared would lead to a dependency culture. Instead, they stressed the benefits of work relief with a cash wage and hourly wage rates identical to those in the private sector. Hours worked were restricted so that take-home pay was not so munificent that private-sector work would be rejected if it was offered. Unfortunately, limited funding enabled only 40 per cent of workers eligible for work project placements to find employment on them. Rejected applicants were forced to accept relief from their counties, which was far less generous than that provided by Washington.

Mass unemployment was a worldwide phenomenon during the depression. Sweden, Denmark and Norway, like Britain, endured double-digit unemployment in both the 1920s and the 1930s ( Feinstein et al ., 1997 ). In Germany, the deflationary policies pursued even after the gold standard had been abandoned led to an unemployment total of 6m in 1933, roughly double that of the UK. The social and political distress in Germany, which played a significant part in the election of Hitler as Chancellor in 1933, was widely seen at the time as one of the unacceptable costs of unemployment. The eradication of unemployment was a Nazi priority and the new government acted swiftly by imposing a ‘new deal’ on Germany which was radically different from Roosevelt’s model. The Nazis abolished German trades unions and with them collective bargaining. A mass programme of public works financed by budget deficits was begun immediately. Industrial recovery emphasized the production of capital goods not consumer goods. Labour service, and the introduction of military conscription in 1935, helped to reduce the ranks of the jobless so that, in 1937, unemployment had been reduced to less than 2m. A striking feature of the labour market was the very modest growth in real wages which this totalitarian regime was able to control. When the market became tight and shortages appeared, there were no trades unions to help workers exploit their scarcity.

The contribution of Nazi work-creation schemes and the state’s ability to control wage growth explains why the decline of unemployment in Germany appeared a success story when compared to Roosevelt’s efforts in the US ( Temin, 1989 ). Depressed commentators in the free world wondered if the only way to eradicate unemployment was to embrace the policies of either Nazi Germany, or the Soviet Union. Neither option had great appeal. It was, however, preparation for war which sheltered Britain, France, and Germany from sharing the US experience during 1937–8. Expansionary fiscal policies sustained the European economies as they geared up for conflict and minimized the effects of this contraction.

(i) What caused the downturn?

Economic historians have traditionally viewed the large falls in real GDP that happened in the Great Depression as the result of large aggregate demand shocks. We think this is still appropriate and identify the main sources of these shocks. 1 However, the translation of adverse shifts in aggregate demand into an impact on output as well as the price level, implies that the aggregate supply curve was non-vertical and the reasons for this need to be explored. Moreover, it is now generally accepted that the shocks which started the downward spiral were greatly amplified by the financial crises which characterized the early 1930s. A further key aspect of the Great Depression is that recessionary impulses were not immediately countered by an effective policy response, and this also has to be explained. Here, a central role was played by the gold standard, the fixed exchange-rate system, of which all the major economies were members at the end of the 1920s.

The most important source of shocks to the world economy from the late 1920s onwards was the United States. This was not only because the collapse in output in the world’s largest economy was spectacular, but because other countries responded to deflationary changes in American monetary policy, notably at the end of the 1920s ( Eichengreen, 2004 ). At least since Friedman and Schwartz (1963) , monetary policy errors have been blamed by many economists; the M1 measure of the money supply fell by over 25 per cent between 1929 and 1933 and it is generally agreed that, notwithstanding the constraints of the gold standard, at least through early 1932, there was scope for the Federal Reserve to reverse this decline by an aggressive response. Instead, adhering to the real bills doctrine, it was believed that monetary policy was loose and expansionary policy was inappropriate, even though real interest rates were very high. More details can be found in the paper by Fishback (2010) .

Econometric analysis has supported the view that declines in the money supply tended to have negative effects on real output in the United States in the interwar period; however, the decline in output in the early 1930s was much bigger than would be predicted simply on the basis of the fall in M1 (Gordon and Wilcox, 1981 ). This might imply that there were other demand shocks working through autonomous falls in consumption and investment spending, as argued by Temin (1976) . A major additional factor was the spate of banking crises that engulfed the United States in the early 1930s when more than 9,000 banks failed (comprising about a seventh of total deposits).

In a seminal paper, Bernanke (1983) found that adding changes in deposits of failing banks to an equation to predict output based on money and price shocks substantially improved its predictive power. This should not be surprising since it is well known that systemic banking crises tend to be associated with large output losses ( Laeven and Valencia, 2008 ). Bernanke interpreted his result as an indication that bank failures implied a loss of services of financial intermediation, a ‘credit crunch’, in which output fell consequent on an adverse shift in the supply of loans. This claim, based on correlations at the macro level, has subsequently been strongly supported by micro-level research into bank behaviour ( Calomiris and Mason, 2003 a ; Calomiris and Wilson, 2004 ). So bank failures were an important channel for the transmission of monetary impulses to real-economy outcomes.

Friedman and Schwartz (1963) interpreted the bank failures as primarily a result of a ‘scramble for liquidity’ with the implication that, if the Federal Reserve had acted as a vigorous lender of last resort, they could largely have been averted, at least in 1930 and 1931. Bordo and Lane (2010, this issue) provide support for this view based on an econometric analysis using examiners’ reports on failed banks. That said, it is clear that the United States entered the 1930s with a weak financial system, under-capitalized and based on unit rather than branch banking, and that the probability that a bank would fail strongly reflected fundamentals and insolvency stemming from ex ante balance-sheet weakness rather than panic ( Calomiris and Mason, 2003 b ). It is also clear that high failure rates reflected weaknesses in regulation, notably in terms of capital adequacy, and prudential supervision, in particular because of inadequate standards at the state level; indeed, Mitchener (2007) estimated that the bank failure rate might have been halved had regulatory and supervisory practices across states improved by one standard deviation.

Obviously, a more resilient banking system would have coped better with the stress created by macroeconomic problems. The incorporation of a financial sector into a dynamic stochastic general equilibrium (DSGE) model of the interwar American economy gives similar insights. Christiano et al . (2003) found that shocks that raise liquidity preference (reduce bank deposits relative to currency holdings) lower funds for investment and contribute to a non-neutral debt deflation, but that a monetary policy rule that responded to these money demand shocks could have limited the fall in real GDP in the early 1930s to only about 6 per cent.

Where does the Wall Street Crash fit into this story? To the person in the street, the collapse of stock-market prices is surely the iconic aspect of the Great Depression. The Dow Jones industrial index fell from 381 to 198 between the peak in early September and mid-November 1929, while from peak to the trough in 1932 about five-sixths was wiped off stock-market values. The crash in the autumn of 1929 included the infamous Black Thursday and Black Tuesday (24 and 29 October). In contrast, economists and economic historians have generally thought that the Wall Street Crash played at most a minor role in the downturn. In part, this is because the fundamental value of a share reflects the discounted present value of future earnings and is thus an endogenous variable. That said, share price indices exhibit ‘excess volatility’—they jump about much more than can be explained by an efficient markets hypothesis ( Shiller, 2003 )—and probably were quite a bit ‘too high’ ex ante in 1929. 2 So there is scope to think in terms of an exogenous shock to share prices. The question then is how much effect might this have had on the real economy. The answer is probably a small impact on consumption through wealth effects and postponement of durables as a response to increased uncertainty ( Romer, 1990 ). There is good evidence that increases in uncertainty affected investment quite significantly through increased risk premia, but, that said, this does not seem to result from discrete events such as the stock-market crash ( Ferderer and Zalewski, 1994 ). So, overall, the impact of the Wall Street Crash on the real American economy was very modest in comparison with that of monetary policy and banking crises.

In sum, the collapse in economic activity was the result of large shocks, both monetary and expenditure, to aggregate demand interacting with a fragile financial system so as to magnify the impact. Discretionary policy responses were, at best, too little, too late, while automatic stabilizers were very weak in an economy with a small federal budget together with low tax rates and transfer payments. Although nominal interest rates fell by several percentage points, ex post real interest rates rose steeply, while bank failures and declining asset prices delivered a credit crunch.

For the typical small open economy in the rest of the world, the big problem as the Depression took hold was being subjected to deflationary pressure as world output and prices fell while being severely constrained in making a policy response by membership of the gold standard. The concept of the macroeconomic trilemma tells us that such a country can only have two of a fixed exchange rate, capital mobility, and an independent monetary policy. This last was typically given up while the gold standard prevailed, although in the globalization backlash that ensued capital controls were very widely adopted. It follows that a monetary-policy response to the deflationary shocks needed to be coordinated across countries (thereby allowing interest-rate differentials to remain unchanged) but, as Wolf (2010) explains, international coordination was out of the question. Indeed, non-cooperative behaviour was the order of the day, epitomized by France’s accumulation and sterilization of gold reserves.

Besides having no control over monetary policy, staying on the gold standard required reductions in prices and money wages and entailed high real interest rates and increased the risk of a banking crisis as balance sheets deteriorated. The decision not to leave the gold standard was influenced by the strength of worries about loss of monetary discipline and the degree of pain in terms of price falls and devaluations by important trading partners ( Wolf, 2008 ). Banking crises were experienced in many countries and were associated with weaknesses in banking systems as well as the deflationary pressures which stressed them ( Grossman and Meissner, 2010 , this issue). Banking crises were bad for the real economy, and countries which went through them were exposed to much larger decreases in real output ( Bernanke and James, 1991 ).

It is implicit in this discussion that the aggregate supply curve is positively sloped rather than vertical so that aggregate demand shocks have output as well as price-level effects. This seems to be borne out by the evidence. Bernanke and Carey (1996) , in a careful panel-data econometric study, found both that there was an inverse relationship between real wages and output and that this reflected incomplete (and indeed quite sticky) nominal wage adjustment in the presence of aggregate demand shocks. It is not fully understood why wages were so sticky, but ‘new-Keynesian’ arguments may be relevant. In particular, there is evidence to support an ‘insider–outsider’ explanation. Consistent with this, for the United States, it has been shown that the delay in nominal wage cuts was most pronounced in industries where there was market power ( Hanes, 2000 ). However, the impact of President Hoover’s attempts to persuade employers to agree not to cut wages may have also delayed wage cuts ( O’Brien, 1989 ). 3

The volume of international trade fell dramatically during the Great Depression, both absolutely and relative to GDP, and the period is notable for a surge in protectionism following the Smoot–Hawley Tariff imposed by the United States in 1930. For the advanced countries, real GDP fell by 16.7 per cent between 1929 and 1932, but import volumes fell by 23.5 per cent ( Table 1 ). Grossman and Meissner (2010) review the reasons for the decline in trade in some detail. Obviously a major factor is the fall in world incomes, but increasing barriers to trade clearly played a very significant role; although estimates of their contribution are sensitive to methodology, it seems likely to have been at least 40 per cent, as estimated by Madsen (2001) .

The goals of protectionist policies were typically to safeguard employment, to improve the balance of payments, and to raise prices. Unlike today, there were no constraints from World Trade Organization (WTO) membership. Protectionism is usually thought of as the triumph of special-interest groups but, in this period, it may be more a substitute for a macroeconomic-policy response. For example, Eichengreen and Irwin (2009) found that, on average, tariffs were higher in countries that stayed on gold longer. It seems unlikely that protection generally had any major impact on GDP during the downturn, because with retaliation there were offsetting effects on imports and exports. Eichengreen (1989) estimated that Smoot–Hawley raised American GDP in the short run by about 1.6 per cent after allowing for retaliation and effects on income in the rest of the world.

(ii) What drove the recovery?

The decline in economic activity across the world came to an end in 1932–3, although there were substantial output gaps for a long time afterwards. Changes in economic policy played a major role in promoting economic recovery on the demand side and to some extent by inhibiting it on the supply side. In the United States, the inauguration of the Roosevelt administration in 1933 ushered in the New Deal and most countries left the gold standard and embarked on a new macroeconomic policy regime. There is a large literature that seeks to account for the role of policy in macroeconomic outcomes in the post-Depression years, but, as this section shows, there remains room for debate.

In the United States, recovery after 1933 can be characterized as strong but incomplete. In the 4 years 1933–7, real GDP rose by 36 per cent compared with a fall of 27 per cent in the previous 4 years, taking the level in 1937 back to about 5 per cent above that of 1929. Assuming trend growth at the pre-1929 rate, however, there was still an output gap of some 25 per cent. From 1933 the New Deal swung into action with its alphabet soup of public-spending initiatives. It is natural to assume that this represented a substantial Keynesian fiscal stimulus but, as has been known since the calculations of Brown (1956) and Peppers (1973) , this was not the case.

Fishback (2010) points out that the New Deal was largely financed by tax increases and notes that the direct effects of fiscal stimulus were, at most, a very small part of the recovery. The federal deficit in 1936 was about 5.5 per cent of GDP and between 1933 and 1936 the discretionary increase probably amounted to around half of this figure. So, fiscal policy was not really tried. Would it have worked? This turns on the value of the fiscal multiplier. In the circumstances of the mid-1930s, with interest rates at or near the lower bound, there are good reasons to believe that, for temporary government spending increases, fiscal multipliers should be a good deal higher with much less crowding out than in normal times ( Hall, 2009 ). Gordon and Krenn (2010) provide estimates of the fiscal multiplier based on a vector autoregression (VAR) analysis of the impact of government expenditure on preparations for the Second World War in 1940–1 which are 1.8 in 1940 falling to 0.8 by the end of 1941. However, as Fishback (2010) notes, there are few estimates of the fiscal multiplier during the New Deal; his own research at the state level suggests a range of 0.9 to 1.7—perhaps a bit below Hall’s best guess of 1.7 for similar conditions. In any event, this would make dealing with the output gap of 1933 a daunting task.

The New Deal was a package of measures, some of which, notably NIRA in 1933 and later the National Labor Relations Act, were intended to increase the bargaining power of workers vis-à-vis employers and to prevent nominal wage declines. Cole and Ohanian (2004) , in the RBC tradition, argue that the effect was to raise real wages and unemployment compared with competitive market outcomes and that this accounts for a significant part of the shortfall of output in 1937 relative to the pre-1929 trend. Hatton and Thomas (2010) review the evidence for this claim and conclude that the New Deal may well have raised the equilibrium level of unemployment considerably; they find that the non-accelerating inflation rate of unemployment (NAIRU) was 12 percentage points higher in the American economy in the 1930s compared with the 1920s. So, it seems that the adverse supply-side impact of the New Deal probably outweighs any positive demand stimulus that it delivered.

Romer (1992) argued that the main stimulus to recovery in the United States was monetary policy, noting very rapid growth in the monetary base and M1 after 1933. This was driven by (largely unsterilized) gold inflows after the United States left the gold standard. M1 grew at nearly 10 per cent per year between 1933 and 1937 and Romer estimated that this was sufficient to raise real GDP in 1937 by about 25 per cent compared with what would have happened under normal monetary growth. She found a large reduction in real interest rates from 1933 and concluded that this had favourable impacts on investment spending. By implication, the positive effect of monetary policy on nominal GDP was a major reason why the federal debt-to-GDP ratio only went up from 16 per cent in 1929 to 44 per cent in 1939.

This account needs to be supplemented by explicitly considering how the United States escaped the liquidity trap, i.e. delivered monetary stimulus despite interest rates at the lower bound. The key here was ‘regime change’, as was originally stressed by Temin and Wigmore (1990) . They argue that leaving the gold standard was a clear signal that the deflationary period was over. Eggertsson (2008) , working with a standard DSGE model, built on this and provided some quantification. His argument is that Roosevelt’s actions on taking office, comprising leaving gold, announcing an objective of restoring the prices to pre-Depression levels, and implementing New Deal spending, amounted to a credible policy that delivered a major change in inflationary expectations which drove down real interest rates, matching the classic recipe for escape from the liquidity trap ( Svensson, 2003 ). Eggertsson’s calibration implied that the regime change accounted for about three-quarters of the recovery in output between 1933 and 1937. Interestingly, this kind of model makes the New Deal a major factor in promoting recovery, but through its indirect effects in changing expectations rather than through a Keynesian fiscal stimulus.

An important ingredient in recovery in the United States was rehabilitation of the banking system to put an end to the waves of bank failures and to ease the credit crunch; this was, indeed, a major priority for legislators. Both re-capitalization and re-regulation of the banks were required. Following a compulsory closure of all banks for 3 days for inspection of their books, the Roosevelt Administration passed an Emergency Banking Act in March 1933 and this was followed by the Banking Acts of 1933 (Glass–Steagall) and of 1935. About 4,000 banks were declared insolvent and not allowed to re-open after the ‘bank holiday’. Inter alia , these banking acts empowered the Reconstruction Finance Corporation (RFC), a government agency, to buy preferred stock in banks with voting rights that frequently entailed effective control, introduced federal deposit insurance, separated investment from commercial banking, and imposed interest-rate ceilings on bank accounts (regulation Q). However, nationwide branch banking continued to be prohibited.

This approach was successful in part, as Mitchener and Mason (2010, this issue) discuss. Deposit insurance, made permanent under the auspices of the Federal Deposit Insurance Corporation (FDIC), was important in ending the threat of further bank runs, as theory suggests it should ( Diamond and Dybvig, 1983 ). The RFC provided substantial capital; by March 1934 it owned stock in nearly half of all commercial banks and in June 1935 it owned more than a third of the capital ($1.3 billion in 6,800 banks) of the American banking system ( Olson, 1988 ). The RFC imposed conditions on banks which were a good substitute for market discipline on risk taking ( Calomiris and Mason, 2003 c ) and the RFC made money for the American taxpayer. Bank runs ceased and failures returned to normal low levels; the deposits-to-currency ratio which had fallen from 10.9 to 5.1 between 1929 and 1933 went back above 7. Bank lending, however, remained far below pre-Depression levels and deposit-to-reserve ratios continued to fall from 13 in 1929, to 8.2 in 1933, to 5 in 1937, when loans were a little over half but bank capital was over 80 per cent of the 1929 level. This reflected continued efforts by banks to reduce default risk at a time when they found it costly to raise new equity ( Calomiris and Wilson, 2004 ).

The regulatory response to the banking crises, captured by political interest groups intent on preserving unit banking and imbued with the ideology of the real bills doctrine, was highly unsatisfactory ( Calomiris, 2010 ). 4 Calomiris notes that the legislation was designed to support unit banking, yet this was the main structural weakness of the system which inhibited diversification of risks, prevented coordinated responses to shocks, restricted competition, and was a major source of banking instability. In contrast, the Glass–Steagall Act mandated the separation of commercial and investment banking, whereas the evidence is that banks which did both were better diversified and less likely to fail ( White, 1986 ) and that there were no good investor-protection reasons for this legislation ( Kroszner and Rajan, 1994 ). In the longer term, the downside of deposit insurance in terms of encouragement of greater risk taking was an important concern but politically it was impossible to remove; this might be seen as a significant cost of the ineffectiveness of the Federal Reserve as lender of last resort.

A key issue with macroeconomic policies to promote recovery is when to withdraw monetary and fiscal stimulus and revert to normal bank policy: too soon and a double-dip recession ensues, too late and inflation takes off. These ‘exit-strategy’ issues are considered by Mitchener and Mason (2010) . For the United States, the former problem materialized in 1937–8 when there was a short but severe recession in which real GDP fell by 10 per cent from peak to trough. This seems to have been consequent on a combination of monetary and fiscal policy tightening in which the former was probably more important ( Velde, 2009 ). This entailed a doubling of banks’ reserve requirements between August 1936 and May 1937, motivated by fear that excess reserves held by the banks might lead to a rapid rise in bank lending, together with the adoption of a policy to sterilize gold inflows as a result of which M1 growth stalled, and tax increases which saw the full-employment surplus rise by about 3.4 per cent of GDP ( Peppers, 1973 ), motivated by moves to re-balance the federal budget in the face of increases in the public debt-to-GDP ratio.

For countries in the rest of the world, a key factor in recovery was exit from the gold standard, as would be expected on the basis of the earlier discussion. On average, the earlier this happened the shallower was the downturn and the sooner recovery began, as was first shown in a very influential paper by Eichengreen and Sachs (1985) and has subsequently been confirmed for wider samples of advanced and middle-income countries by Bernanke (1995) and Campa (1990) . Bernanke (1995) points to leaving gold as permitting monetary expansion and leading to big declines in real interest rates.

In principle, going off gold also allowed countries with balance-of-payments deficits to escape from the deflationary pressures on fiscal policy that, with sterilization of monetary inflows in surplus economies, bore heavily as they tried to prevent a currency crisis ( Eichengreen and Temin, 2010 ). This might have allowed temporary fiscal stimulus to promote recovery but, as Wolf (2010) explains, for a variety of reasons including continued fear of inflation, many countries were reluctant to follow this path in the first half of the 1930s. Would the injection of fiscal stimulus have been successful? Almunia et al . (2010) obtain results that suggest it might well have been, given near liquidity trap conditions, and believe that there were positive results based on sizeable multipliers where it was employed, as in late-1930s France and Italy.

In similar vein, it should be noted that sovereign default was good for relatively rapid and strong recovery ( Eichengreen and Portes, 1990 ). Continuing to service debt as nominal GDP fell implied severe fiscal austerity and, not surprisingly, default was widespread both in Europe and Latin America in an era when the creditors were typically private bondholders, rather than banks, and creditor governments took a relatively relaxed attitude. 5

These themes can be further illustrated by considering economic recovery in the UK which is covered in some detail in Middleton (2010) . Compared with the United States, the UK experienced a relatively mild downturn, with real GDP falling by only about 5 per cent and an early recovery with real GDP returning to the 1929 level by 1934. 6 This fits the picture. The UK had a concentrated banking system but no universal banking and there were no bank failures. An early exit from the gold standard in September 1931 was a blessing in disguise and the result of a currency crisis driven by the fear that rising unemployment in an economy hard hit by falling exports was incompatible with continuation of deflationary policies ( Eichengreen and Jeanne, 1998 ). Devaluation permitted a ‘cheap-money’ policy together with a significant gain in competitiveness, and this accounts for much of the early recovery which started in a period of fiscal consolidation ( Broadberry, 1986 ). The UK did not default but, in 1932, achieved a significant reduction in debt-interest payments through conversion of a large war loan into lower-interest bonds. Unlike the United States, fiscal policy eventually played a significant part through the rearmament programme associated with a discretionary fiscal stimulus of about 3 per cent of GDP between 1935 and 1938; the evidence suggests a short-run fiscal multiplier of around 1.5 ( Thomas, 1983 ; Dimsdale and Horsewood, 1995 ).

(iii) What were the long-term implications of the Great Depression?

The Great Depression had long-lasting effects on economic policy and performance. In the UK it can be seen as a major step down ‘the road to 1945’ and the favourable reception in the 1940s and 1950s to the ideas of Beveridge and Keynes, while in the United States there is a widely held belief that it was the ‘defining moment’ in the development of the American economy ( Bordo et al ., 1998 ). Obviously, there is a danger of attributing to the Depression changes which would have come about anyway, but there is no doubt that the failures of the market economy in the 1930s were game-changing.

Clearly, one implication was a major re-thinking of macroeconomics by the economics profession which, in the Anglo-American world, rapidly adopted Keynesian thinking. This had implications for policy-making, although these need to be handled with care. In the United States, the main change was that it became generally accepted that the automatic stabilizers would not be over-ridden in pursuit of a balanced budget, and these were now much more powerful, with federal spending considerably bigger, but there was no move to trying to fine-tune the economy through Keynesian demand management ( De Long, 1998 ). In the UK, after the war, activist government intervention to prevent shortfalls of aggregate demand did become the norm and, by the 1950s and 1960s, short-term demand management was very prominent in a way that would have been unthinkable in the early 1930s. 7

There was also a legacy from the 1930s for the framework of macroeconomic policy in terms of the macroeconomic trilemma. The move to controls on international capital movements proved to be long-lasting; in most countries, they continued throughout the Bretton Woods period with the return to pegged exchange rates and freer international trade. These years were characterized by very small current-account positions, very high correlations of domestic savings and investment, and the insulation of domestic from foreign interest rates, thus allowing independent monetary policy ( Obstfeld and Taylor, 2004 ). This has been portrayed by Rodrik (2002) as the ‘Bretton Woods Compromise’ in terms of the acceptable limits on globalization required by domestic politics at the level of the nation state after the debacle of the 1930s.

The crisis of the 1930s surely also contributed to the massive increase in social transfers that characterized the OECD countries in the 50 years from 1930 to 1980, during which time the median percentage of GDP rose from a strikingly low 1.66 to 20.09 per cent ( Lindert, 2004 ). Here, too, the story should not be over-simplified—many other factors played a role, including population ageing, trends in income distributions, and rising prosperity. Nevertheless, the ‘defining moment’ hypothesis for the United States is perhaps at its most persuasive in terms of federal social-insurance schemes; Wallis (2010, this issue) sees a fundamental change in terms of fiscal federalism as the New Deal succeeded in putting rules in place that underpinned the political acceptability of inter-state transfers.

The Great Depression also had big implications for microeconomic policy; Hannah and Temin (2010, this issue) suggest that the immediate impact can be seen as a serious retreat from the capitalist free market, with a new emphasis on government interventions to correct market failures. This implies a greater role for regulation and, in most OECD countries, for state ownership. The short-term implication was undoubtedly a substantial reduction in the extent of competition in product markets, including the rise of cartels encouraged by government and the anti-competitive effects of protectionism. The weakening of competition turned out to be much more pervasive and long-lasting in the UK than in the United States ( Broadberry and Crafts, 1992 ; Shepherd, 1981 ).

It is well known that financial crises can have permanent adverse effects on the level and possibly also the trend growth rate of potential output and this is a major reason why such crises usually have serious fiscal implications, including big increases in structural deficits as a percentage of GDP. Thinking in terms of a production function, there will be direct adverse effects on the amount of capital as investment is interrupted, on the amount of labour inputs through hysteresis effects, and on TFP if R&D is cut back. Indirect effects—either positive or negative—may also be felt depending on the impact the crisis has on supply-side policy. Furceri and Mourougane (2009) estimate that for OECD countries a severe banking crisis reduces the level of potential output by about 4 per cent, while the review of the evidence in IMF (2009) , which covers lower-income economies, suggests 10 per cent; in neither case is long-run trend growth thought to be affected.

What does the experience of the United States in the 1930s reveal? One way to address the issue is through time-series econometrics where the shock in the 1930s has been a focal point in debates about deterministic or stochastic trends. 8 Here the evidence is rather inconclusive and the picture is muddied by the Second World War. In fact, assuming trend-stationarity and extrapolating the pre-1929 trend of per capita income growth into the long run gives quite a good approximation to actual experience, but a more careful look suggests a break in trend in 1929 comprising a levels decrease followed by a modest increase in trend growth through 1955 ( Ben-David et al ., 2003 ). The pre-1929 trend line was crossed in 1942.

More insight may be obtained by considering business-cycle peak-to-peak growth-accounting estimates, as in Table 3 . The obvious feature of the 1930s is that the financial crisis undermined growth in the capital stock. Had growth of the capital stock continued at the pre-1929 rate, by 1941 it would have been about 35 per cent larger and, accordingly, potential GDP perhaps 12 per cent bigger. Growth of labour inputs was sluggish, impaired by the impact of the New Deal. However, TFP growth was very strong, powered by sustained R&D, and Field (2003) labelled the 1930s the most technologically progressive decade of the twentieth century in the United States. This theme is pursued in Hannah and Temin (2010) .

Growth accounting decompositions, United States 1919–41 (% per year)

/ / / / / )/( )
1919–293.082.691.101.441.96
1929–412.520.040.272.032.25
1919–294.062.931.732.042.30
1929–412.36–0.14–0.022.342.38
/ / / / / )/( )
1919–293.082.691.101.441.96
1929–412.520.040.272.032.25
1919–294.062.931.732.042.30
1929–412.36–0.14–0.022.342.38

Notes : Δ A / A is TFP growth derived by imposing an aggregate Cobb–Douglas production function, Y = AK α L 1–α . L is measured in terms of hours worked.

Source : Derived from Kendrick (1961) .

A legacy of the depression was a large rise in the number of long-term unemployed workers and the share of unemployment which was long term. In the UK this was to a large extent the result of job losses in the traditional export industries interacting with the unemployment-insurance system to generate a group of workers who would have liked their old jobs back but could survive on the dole. These long-term unemployed workers seem to have experienced declining re-employment probabilities over time as they became discouraged, their human capital deteriorated, and employers regarded them as damaged goods ( Crafts, 1987 ). The plight of these workers scarred the period and, virtually excluded from the labour market, they did not hold down wage pressures ( Crafts, 1989 ). So, at any level of unemployment, wage pressure was greater than in the 1920s or, equivalently, hysteresis effects had raised the NAIRU—perhaps by about 1.5 percentage points.

The UK did not experience a banking crisis but its supply-side policy was greatly affected by the response to the shocks of the 1930s and the damage limitation of the period had persistent effects well into the post-war period. Booth (1987) pointed to the logic of the so-called ‘managed-economy approach’ that was adopted—namely, that it cohered in terms of trying to promote an increase in prices relative to wages through a combination of devaluation, tariffs, and cartels. This amounted to a big reduction in product-market competition which took a long time fully to reverse. In the late 1950s, tariffs were still at mid-1930s levels and about 60 per cent of manufacturing output was cartelized. The retreat from competition had adverse effects on productivity performance over several decades and provided the context in which industrial relations problems and sleepy management proliferated ( Broadberry and Crafts, 2011 ).

Finally, it should be noted that international trade did not return to pre-Depression levels until well after the Second World War. As of the late 1930s, it looked as though the increase in trade costs in the 1930s had ‘permanently’ reduced total trade (exports + imports) to income ratios by about 30 per cent for the advanced countries. Using modern research on the impact of trade on the level of income which allows for impacts on capital stock and TFP (rather than welfare triangles), following in the tradition of Frankel and Romer (1999) , suggests that the long-term effect would have been to reduce the level of GDP per person by about 15 per cent. 9

This section pulls out the strongest policy lessons from the 1930s that have emerged from the above. Some of these are well understood and, fortunately, in the Great Recession of the last 2 years many of the worst mistakes of 80 years ago have not been repeated. The economic history of the Great Depression is, of course, well known to key players such as Ben Bernanke and Christina Romer, who are distinguished contributors to the literature. We are, of course, aware that some things are different now—for example, there was no European Monetary Union or too-big-to-fail doctrine in the 1930s— and that policy decisions and outcomes were contingent on the circumstances of the time; nevertheless, we believe that there is value in re-visiting the experience of that decade.

Starting with monetary and fiscal policy, the headlines from the American experience are clear enough. Monetary policy bears a big responsibility for the early-1930s slump; subsequent research has refined rather than refuted the claims of Friedman and Schwartz (1963) . Monetary policy errors were of both commission and omission. Inappropriate tightening of policy precipitated the downturn, while the subsequent failure to provide greater monetary stimulus allowed recession to develop into depression. In particular, as Bordo and Lane (2010) show, the Federal Reserve failed in its role as lender of last resort and thus made the financial crisis much more serious. These mistakes were not repeated in 2008–9 when monetary policy was aggressively expansionary ( Wheelock, 2010 ).

In the 1930s recovery, by contrast, monetary growth provided a major impetus, while there was virtually no fiscal stimulus, even though it is reasonable to suppose that the fiscal multiplier was quite big. It is important not to be misled by the frenetic activity of the New Deal; fiscal policy did not fail, rather it was not tried. It should also be recognized that a strong recovery was rudely interrupted by the severe recession of 1937–8 and this seems to be explained by deflationary moves in both monetary and fiscal policy.

The British fiscal-policy experience offers rather different messages. In the rearmament phase of the later 1930s, fiscal stimulus had a substantial positive impact on real output. On the other hand, in the crisis at the start of the decade, attempts to prevent the budget deficit rising as the recession deepened reduced aggregate demand appreciably, with the structural deficit being reduced by over 2.5 per cent of GDP ( Middleton, 1985 ). The big difference compared with the present day is that the government attempted to over-ride the automatic stabilizers. 10 The context, in terms of the very unpleasant budgetary arithmetic arising from wartime borrowing and being on the gold standard, is important. 11 This drastically reduced freedom to manoeuvre in the face of fears of an adverse reaction from financial markets and of deflation. The lessons here are that falling prices greatly magnify worries about fiscal sustainability, and that, at times when fiscal policy is a valuable weapon, it is highly advantageous to enter the crisis with a history of fiscal prudence.

The experience of the 1930s tells us to expect that a legacy of the current crisis will be a substantial increase in long-term unemployment and economic inactivity. It seems clear that once again this will imply that the NAIRU goes up and the level of potential output goes down. The analysis in Guichard and Rusticelli (2010) suggests that the average increase in NAIRU through hysteresis effects, both across the OECD as a whole and also in the UK, could be around 0.75 percentage points. The adverse impact on the well-being of those who become long-term unemployed will be severe and sustained ( Clark et al ., 2008 ). As Hatton and Thomas (2010) point out, this represents a major challenge for active labour-market policies.

There is a further major lesson from the recovery phase of the 1930s, namely, the importance of regime change for escaping the liquidity trap. Exit from the gold standard by the United States in 1933, together with New Deal policies, changed inflationary expectations and produced a dramatic fall in real interest rates. More generally, abandoning the gold-standard rule restored independence of monetary policy which was valuable for many countries in a world with no policy coordination and bedevilled by wage stickiness. Devaluation promoted early recovery and made fiscal consolidation much less painful. Here was a classic case where adhering to the wrong policy rule made things worse.

This obviously has resonance for current Eurozone problems and, especially, for Greece, which does not have readily available the classic 1930s escape route of devaluation. Eichengreen and Temin (2010) argue that it is virtually impossible for a country to impose capital controls and leave the Eurozone and that, as the failure of the interwar gold standard illustrates, successful fixed exchange-rate systems generally need to be managed in ways that share burdens of adjustment between surplus and deficit countries. Wolf (2010) sees the Eurozone crisis as reinforcing the need for binding fiscal rules together with a credible commitment to a permanent European Stabilization Mechanism to preclude the financial crisis that sovereign default would bring.

At the beginning of the current crisis, international trade collapsed and it was widely remarked that there was a chilling parallel with the trade-wars period of the early 1930s with its seriously adverse implications for income levels in the long term. Subsequently, research has found that the contribution of trade barriers to falling world-trade volumes in 2008–9 was very small, perhaps only 2 per cent ( Kee et al ., 2010 ), which is well below estimates of 40 per cent or more in the Great Depression. It seems that the structure of world trade has changed in ways that make volumes much more sensitive to demand shocks; the evidence is reviewed by Grossman and Meissner (2010) .

This raises the important question of why we have seen creeping rather than rampant protectionism this time. Research on the interwar period by Eichengreen and Irwin (2009) finds that protectionist policies were less likely to be adopted by countries which left the gold standard early, i.e. where there was more freedom to adopt expansionary monetary and fiscal policies. They argue that this makes protectionism much less likely now because the scope for a macroeconomic policy response is much greater.

Even so, another big difference from the 1930s may also be relevant, namely, that now we have the trade rules overseen by the WTO including bound tariff agreements. Evenett (2009) points out that these tariff bindings have held. Unfortunately, it is also true that there is a great deal of leeway for WTO-legal increases in trade barriers, partly because in many cases tariffs are well below bound levels and partly because anti-dumping is not well addressed by the rules. This underlines the importance of reducing the scope for governments legally to raise levels of protection and emphasizes that there could be real value from concluding the Doha Round ( Hoekman et al ., 2010 ).

Banking crises were at the heart of the Great Depression in the United States. That experience and the wider evidence base tells us that such crises are typically very expensive in terms of the depth and length of the downturns with which they are associated and the fiscal legacy that they bequeath through increased structural deficits and government debt-servicing ( Laeven and Valencia, 2008 ). The costs are greater when pre-crisis regulation and supervision are weak ( Ahrend et al ., 2009 ), as is borne out by the variance of bank failure rates across the states of the USA in the 1930s.

Microeconomic analysis incorporating implications of asymmetric information predicts that there is the potential for serious market failures in the banking sector with attendant risks of banking crises; for example, a bank run (a coordination failure) can happen even though agents are rational and banks are solvent ( Diamond and Dybvig, 1983 ). Moral hazard leading to excessive risk-taking which is rational for banks may compound this problem in the context of free-riding in monitoring by depositors. Banks’ lending decisions do not take into account the (potentially large) social costs of bank failures via the threat to financial stability that they entail.

As the catastrophic experience of the United States in the 1930s makes clear, the policy implication is that there is a need both for regulation to reduce the possibility of a crisis by curtailing excessive risk-taking and also for crisis-management measures to reduce the impact of any crisis ( Freixas, 2010 ). The latter might include deposit insurance together with a central bank that acts effectively as a lender of last resort. The former might just comprise regulation that improves the quality of publicly available information to facilitate market discipline of banks. In practice, however, deposit insurance tends to exacerbate moral hazard, especially if implicit full-insurance guarantees are given de facto when banks are deemed too big to fail. This makes strict regulation of bank behaviour, for example, in terms of capital-adequacy rules, or of the size and/or scope of banking activities imperative ( Bhattacharya et al ., 1998 ).

In 1929, the United States had a badly regulated and under-capitalized banking system, an inexperienced and incompetent lender of last resort, and no federal deposit insurance. At the end of the crisis, responses were made both in terms of prudential regulation and crisis management. In 1933, ending the waves of banking crises was both an economic and a political imperative. As today, reliance on market discipline appeared unrealistic. The lender of last resort had failed. So, the solution was deposit insurance plus regulatory reform, and the political attractions of the former meant that it would be a permanent feature of the American banking system ( Calomiris, 2010 ). Many other countries have followed down this path, a choice reinforced by the present crisis. For this solution to work effectively, it is crucial that regulation is well designed. The lesson from the 1930s is that it most probably will not be, because vested interests are likely to hijack the politics of regulatory design. In particular, it is clear that the Glass–Steagall Act introduced unjustified restrictions on universal banking while failing to address the real structural problem, namely, unit banking. Nevertheless, given the scope for, and potentially large costs of, market failure in banking together with the unavoidable presence of deposit insurance, in principle, tighter regulation to contain moral hazard was appropriate both then and now. 12

In late 2008, the Queen pertinently asked why no one had seen the crisis coming. A similar question would have been entirely appropriate in 1931. In some sense, such a lack of foresight represents a failure of economics but it is important to be clear what this comprises. As the research reviewed in this essay shows, economics has powerful tools that explain the reasons for and the consequences of financial crises, ex post . There is no great mystery about what went wrong in the United States in the early 1930s and, in principle, it is known how to prevent a repetition. Forecasting the course of the depression ex ante would, however, have been extremely difficult, then as now. Inter alia , it would have required detailed knowledge of bank balance sheets and a model of when banks would fail, together with an estimate of the impact of bank failures on economic activity, plus an ability to predict the Federal Reserve’s policy moves and when the United States would leave the gold standard.

The key point is surely the need to take banking crises seriously. Microeconomic analysis based on incentive structures in the presence of asymmetric information explains why these are likely to happen ( Dewatripont and Tirole, 1994 ), while economic history tells us that they have been quite frequent and often very costly (Reinhart and Rogoff, 2009 ). This suggests that there is a clear need to supplement conventional macroeconomic forecasting models with models for policy analysis and simulation which incorporate a financial intermediation sector with incentive distortions and information frictions ( Bean, 2010 ) and with ‘early-warning’ models that focus on threats to financial stability.

Unfortunately, the latter are still far from satisfactory. For example, the preferred model in Davis and Karim (2008) gave the probability of a banking crisis in the UK in 2007 as 0.6 per cent while Giannone et al . (2010) show that the recent financial crisis was more severe on average in countries which had very high-quality financial regulation according to existing indicators! Moreover, economists have not yet identified with any precision ex post the initial conditions which made for greater vulnerability ( Claessens et al ., 2010 ). The policy implication is to recognize that maintaining financial stability is a policy objective that will not be achieved by inflation targeting but requires additional policy instruments.

Finally, it is worth noting that in some very important ways economics has had a good crisis and lessons from the 1930s have been well heeded. Accepting that the financial crisis was allowed to happen and was not predicted, at least the policy response based on economic analysis and historical experience prevented a repeat of the trauma of the Great Depression.

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Until relatively recently, this was also commonplace among macroeconomists, even those of a strong neoclassical persuasion. Since Cole and Ohanian (1999) there have been attempts to explain the Great Depression in a real business cycle (RBC) framework. This would naturally look to adverse total factor productivity (TFP) shocks as the recessionary impulse; in common with most economic historians—for example, Pensieroso (2007) and Temin (2008) —we do not believe that this venture has been successful. The strong point of RBC modelling of the 1930s has been to point out and seek to quantify impacts of the New Deal on aggregate supply during the recovery phase ( Cole and Ohanian, 2004 ). Indeed, in that tradition the term ‘Great Depression’ is applied to the whole of the 1930s for the United States on the grounds that, despite quite a strong recovery after 1933, real GDP remained well below what would have been predicted on the basis of 1920s trend growth.

Whether there was a ‘bubble’ in the 1929 stock market has been controversial. The most persuasive evidence that there was a substantial bubble comes from the pricing of loans to stockbrokers and the valuation of closed-end mutual funds; see Rappoport and White (1993) and De Long and Shleifer (1991) .

Bordo et al . (2000) constructed a DSGE model incorporating overlapping Taylor-wage contracts and found that sluggish wage adjustment could have been a powerful aspect of the transmission mechanism from monetary shocks to real output effects.

The real bills doctrine held that the Federal Reserve should simply supply credit to meet the needs of trade and should not seek to target monetary growth or inflation; adherents believed in the separation of investment and commercial banking.

Eichengreen and Portes (1990) list 12 ‘heavy’ and 16 ‘light’ sovereign defaulters; the former include Germany and Greece and the latter include Canada, France, Italy, and Spain.

This raises the question as to why British folklore thinks the 1930s were so bad. The answer probably relates to regional trends in unemployment. In particular, adjustment to declines in the export-staple industries concentrated in ‘Outer Britain’ proved very difficult, cf. Hatton and Thomas (2010) . This is symbolized by the Jarrow March, which took its participants in 1936 from the depressed North-east to the prosperous South-east.

The initial stance of the Labour government in the late 1940s was to embrace planning rather than fine-tuning. It should also be noted that there has been a vigorous debate among economic historians about the validity of the concept of a ‘Keynesian revolution’ in British economic policy-making; see Booth (2001) for an introduction and further references.

With a stochastic trend, a shock only has a temporary effect and the economy then returns to the previous trend growth path; in contrast, if the trend is a non-stationary stochastic process, shocks have an enduring effect on the future growth path and long-run forecasts are affected by historical events.

This is based on the point estimate of an elasticity of 0.5 for the effect of trade exposure on income found for the period 1960–95 by Feyrer (2009) using an improved estimation technique. As far as we know, a similar study has not yet been performed for the interwar years. For the pre-1914 period, Jacks (2006) found larger elasticities based on the original Frankel–Romer methodology.

The large UK budget deficit in 2009–10 of about 11 per cent of GDP mainly results from the fiscal impact of the crisis on top of a pre-existing structural deficit of about 3 per cent of GDP; discretionary fiscal stimulus was equivalent to only about 1.5 per cent of GDP ( IFS, 2010 ). But the key point is that there was no attempt through fiscal stringency to stop the deficit from increasing, quite unlike 1931.

Using the standard formula that for fiscal sustainability b > d ( r – g ) where b is the primary surplus/GDP, r is the interest rate on government debt, and g is the growth rate of nominal GDP with the data set from Middleton (2010) , in the late 1920s, d = 1.7, r = 4.6, and g = 2.5; if inflation is zero then b = 3.6 per cent, but if prices fell at 5 per cent per year, b rose to 12.1 per cent. Conversion of the war debt and gently rising prices in the post-gold-standard world changed this so that b fell below 2 per cent. The value of b is quite small in each of these scenarios if d is at the 1913 level of 0.25.

The claim that there is a market-failure-based justification for stronger regulation is related to the special features of banking that create instability risks and clearly does not generalize to a case for state intervention across the board on the grounds that the market economy as a whole has failed. That error was commonplace in the 1930s but should not be repeated now. It should also be apparent that 1930s experience does not offer a blueprint for the optimal details of regulation in the different world of today.

Author notes

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January 2018 1,799
February 2018 2,490
March 2018 4,128
April 2018 4,893
May 2018 4,078
June 2018 2,247
July 2018 1,672
August 2018 2,036
September 2018 2,289
October 2018 2,538
November 2018 4,246
December 2018 3,502
January 2019 2,082
February 2019 2,923
March 2019 4,016
April 2019 4,112
May 2019 4,407
June 2019 2,478
July 2019 1,957
August 2019 1,737
September 2019 2,181
October 2019 2,478
November 2019 2,615
December 2019 2,097
January 2020 1,679
February 2020 2,534
March 2020 4,308
April 2020 8,662
May 2020 3,458
June 2020 3,278
July 2020 2,992
August 2020 3,035
September 2020 3,508
October 2020 3,798
November 2020 4,311
December 2020 3,607
January 2021 3,399
February 2021 3,163
March 2021 5,122
April 2021 4,083
May 2021 3,424
June 2021 1,970
July 2021 1,964
August 2021 2,060
September 2021 2,014
October 2021 2,562
November 2021 2,946
December 2021 2,179
January 2022 1,700
February 2022 1,865
March 2022 2,759
April 2022 2,093
May 2022 1,911
June 2022 1,010
July 2022 678
August 2022 562
September 2022 942
October 2022 1,134
November 2022 1,283
December 2022 1,033
January 2023 889
February 2023 852
March 2023 1,517
April 2023 986
May 2023 1,029
June 2023 647
July 2023 600
August 2023 671
September 2023 759
October 2023 913
November 2023 1,077
December 2023 870
January 2024 1,086
February 2024 960
March 2024 1,212
April 2024 1,143
May 2024 878
June 2024 579
July 2024 539
August 2024 579

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Assessing the role of depression-related stigma in depression care in Malawi

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  • Affiliation: Gillings School of Global Public Health, Department of Epidemiology
  • Globally, depression is prevalent and burdensome. People with depression that hold stigmatizing beliefs related to their condition are at higher risk of never seeking treatment and/or falling out of treatment after initial engagement, posing significant risks to depression recovery. Research in the U.S. found a reduction in stigma after patients engaged in supportive counseling compared to other treatment methods for depression. There has not been much research on mental health stigma in Malawi. Therefore, using data from the Sub-Saharan Africa Regional Partnership (SHARP) for Mental Health Capacity Building scale-up trial, this dissertation expands upon ongoing depression-related implementation science research efforts in the region by exploring the role of stigma during depression care. Patients in the cohort (N=743) were largely treatment-naïve and had depressive symptoms indicated by the Patient Health Questionnaire-9. This dissertation aimed to 1) estimate the effect of baseline anticipated treatment-related stigma on the 3-month probability of depression remission and 2) estimate the association between referral to clinically appropriate problem-solving based therapy and internalized depression stigma three months later. We found that the probability of achieving depression remission at the 3-month interview among participants with high anticipated treatment-related stigma (0.31; 95% Confidence Interval [CI]: 0.23, 0.39)) was 10 percentage points lower than among patients who had low or neutral levels of anticipated treatment-related stigma (risk: 0.41; 95% CI: 0.36, 0.45; RD: -0.10; 95% CI: -0.19, -0.003). In our analysis of the effect of counseling referral on 3-month probability of having high internalized depression stigma, we found that the probability of high internalized stigma was 33 percentage points greater (95% Confidence Interval [CI]: 0.16, 0.50) among patients who were referred to counseling (0.43; 95% CI: 0.32, 0.55) compared to those who were not referred to counseling (0.10; 95% CI: -0.10, 0.30). Taken together, the results from this dissertation highlight 1) the critical role that treatment-related stigma plays in the path to depression recovery, 2) the lack of adequate solutions currently being implemented to address internalized stigma during depression treatment, and 3) the potential impact of an intervention targeting depression-related stigma among patients receiving depression care in Malawi.
  • Public health
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  • https://doi.org/10.17615/0gj3-ya05
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  • Pence, Brian W
  • Gaynes, Bradley N
  • Hill, Sherika
  • Aiello, Allison E
  • Keil, Alexander
  • Doctor of Philosophy
  • University of North Carolina at Chapel Hill Graduate School

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PhDepression: Examining How Graduate Research and Teaching Affect Depression in Life Sciences PhD Students

Logan e. gin.

† Research for Inclusive STEM Education Center, School of Life Sciences, Arizona State University, Tempe, AZ 85281

Nicholas J. Wiesenthal

§ Department of Biology, University of Central Florida, Orlando, FL 32816

Katelyn M. Cooper

Graduate students are more than six times as likely to experience depression compared with the general population. However, few studies have examined how graduate school specifically affects depression. In this qualitative interview study of 50 life sciences PhD students from 28 institutions, we examined how research and teaching affect depression in PhD students and how depression in turn affects students’ experiences teaching and researching. Using inductive coding, we identified factors that either positively or negatively affected student depression. Graduate students more commonly mentioned factors related to research that negatively affected their depression and factors related to teaching that positively affected their depression. We identified four overarching aspects of graduate school that influenced student depression: the amount of structure in teaching and research, positive and negative reinforcement, success and failure, and social support and isolation. Graduate students reported that depression had an exclusively negative effect on their research, primarily hindering their motivation and self-confidence, but that it helped them to be more compassionate teachers. This work pinpoints specific aspects of graduate school that PhD programs can target to improve mental health among life sciences graduate students.

INTRODUCTION

In 2018, researchers found that graduate students were more than six times as likely to report experiencing depression and anxiety compared with the general population and subsequently declared a “graduate student mental health crisis” ( Evans et al. , 2018 ; Flaherty, 2018 ). Calls to identify which factors exacerbate graduate student mental health problems followed (“The Mental Health of PhD Researchers,” 2019; Woolston, 2019a ). However, few studies have taken an inductive approach to identifying what aspects of graduate school in particular affect student mental health. More commonly, large quantitative studies propose a limited number of factors that may affect student mental health that participants select from, few of which directly relate to graduate research or teaching ( Peluso et al. , 2011 ; Levecque et al. , 2017 ; Evans et al. , 2018 ; Liu et al. , 2019 ). In this interview study, we focus on depression in life sciences PhD students and examine which specific aspects of research and teaching graduate students report as affecting their depression. We also explore how depression affects students’ experiences in graduate school.

The American Psychiatric Association defines depression as a common and serious medical illness that negatively affects how one feels, the way one thinks, and how one acts ( American Psychiatric Association, 2020 ). Depression is characterized by nine symptoms: depressed mood; markedly diminished interest or pleasure in activities; reduced ability to think or concentrate, or indecisiveness; feelings of worthlessness, or excessive or inappropriate guilt; recurrent thoughts of death or suicidal ideation, or suicide attempts or plans; insomnia or hypersomnia; significant change in appetite or weight; psychomotor agitation or retardation; and fatigue or loss of energy ( American Psychiatric Association, 2013 ; Schmidt and Tolentino, 2018 ). For depression to be diagnosed, the presence of at least five of the symptoms is required most of the day, nearly every day, for at least 2 weeks in addition to the occurrence of either depressed mood or diminished interest or pleasure ( American Psychiatric Association, 2013 ). In the general U.S. population, depression affects approximately 6.7% of individuals and is estimated to affect 16.6% of individuals at some point in their lifetime.

Graduate students are far more likely to report experiencing depression compared with the general population ( Evans et al. , 2018 ; Barreira et al. , 2020 ). Specifically, a recent study of master’s and PhD students in programs across the world, spanning a variety of disciplines, found that 39% of graduate students reported having moderate to severe depression ( Evans et al. , 2018 ). Similar studies have demonstrated high rates of depression in graduate students in specific disciplines such as economics ( Barreira et al. , 2020 ), biochemistry ( Helmers et al. , 1997 ), pharmacology ( Helmers et al. , 1997 ), and physiology ( Helmers et al. , 1997 ). Depression rates have surged in recent years among graduate students ( American College Health Association, 2014 , 2019 ). Talking about depression has become more socially acceptable, particularly among younger adults ( Anxiety and Depression Association of America, 2015 ; Lipson et al. , 2019 ), which may have contributed to the number of students willing to reveal that they are struggling with mental health. Additionally, depression is highly related to burnout, defined as a work-related chronic stress syndrome involving emotional exhaustion, depersonalization, and reduced personal accomplishment ( Maslach et al. , 2001 ; Bianchi et al. , 2014 ). Graduate work environments appear to be increasingly characterized as stressful and demanding ( American College Health Association, 2014 , 2019 ; Woolston, 2017 ), which may also be contributing to the increase in graduate depression rates.

Increasingly, scientists, psychologists, and education researchers are recognizing graduate student mental health as a concern and calling for further investigation of graduate student mental health in hopes of identifying interventions to improve graduate student quality of life (“The Mental Health of PhD Researchers,” 2019; Woolston, 2019a , b ). For example, in 2019, Nature added a question to its annual survey of PhD students asking students from around the world whether they had sought help for anxiety or depression, and more than one-third (36%) confirmed they had ( Woolston, 2019b ). Additionally, notable publication outlets such as Nature (“The Mental Health of PhD Researchers,” 2019), Scientific American ( Puri, 2019 ), and Science ( Pain, 2018 ) have published blogs or editorials spotlighting the need to improve graduate student mental health.

Some recent studies have sought to uncover the factors affecting depression in graduate students. Primarily, survey studies with predetermined factors that researchers hypothesized impact student mental health have identified poor mentor–mentee relationships ( Peluso et al. , 2011 ; Evans et al. , 2018 ; Hish et al. , 2019 ; Liu et al. , 2019 ; Charles et al. , 2021 ), financial stress ( Hish et al. , 2019 ; Jones-White et al. , 2020 ; Charles et al. , 2021 ), and lack of work–life balance ( Evans et al. , 2018 ; Liu et al. , 2019 ) to be associated with depression or depressive symptoms among graduate students in various disciplines. Other variables shown to be predictive of depression include low research self-efficacy, defined as low confidence in one’s ability to do research ( Liu et al. , 2019 ), difficulty publishing papers ( Liu et al. , 2019 ), hours worked per week ( Peluso et al. , 2011 ), and perceived institutional discrimination ( Charles et al. , 2021 ). Factors that appear to be protective of depressive symptoms include social support ( Charles et al. , 2021 ), mastery, defined as the extent to which individuals perceive themselves to be in control of the forces that impact their lives ( Hish et al. , 2019 ), positive departmental social climate ( Charles et al. , 2021 ), optimism about career prospects ( Charles et al. , 2021 ), and sense of belonging to one’s graduate program ( Jones-White et al. , 2020 ). While these studies have identified some depression-related factors associated with graduate school broadly and emphasize the importance of positive mentor–mentee relationships, few studies have explored factors specifically associated with research and teaching, the two activities that graduate students engage in most frequently during their time in a program. Additionally, the extant literature has primarily focused on surface causes of graduate student depression, yet understanding the underlying causes may be key to developing meaningful interventions. For example, while it is well established that student perception of poor mentorship is related to student depression ( Evans et al. , 2018 ; Hish et al. , 2019 ; Liu et al. , 2019 ; Charles et al. , 2021 ), it is less well understood what specific behaviors mentors exhibit and how such behaviors negatively affect the cognitive and behavioral underpinnings of graduate student depression. Without this knowledge, it is difficult to develop strategies to help mentors be more inclusive of students.

Theories of depression seek to explain the causes of depression. No theoretical model is widely accepted as an overarching framework for depression within the psychological and psychiatric communities ( Mcleod, 2015 ; Ramnerö et al. , 2016 ); instead, there are a number of models addressing how different aspects of depression are associated with the disorder. Arguably, the three most prominent models are cognitive ( Beck et al. , 1979 ), behavioral ( Martell et al. , 2001 ), and psychodynamic ( Busch et al. , 2016 ). In brief, cognitive theories focus on an individual’s beliefs and propose that changes in thinking precede depressive symptoms; for example, negative views of oneself, the world, and the future are thought to be common for individuals with depression ( Beck et al. , 1979 ; Leahy, 2002 ). Behavioral theories emphasize that depression is a result of one’s interaction with the environment; depressive symptoms are thought to be the result of decreased reward, lack of positive reinforcement, encouragement of depressive or passive behaviors, and discouragement of healthy behaviors ( Lewinsohn, 1974 ; Martell et al. , 2001 ; Carvalho et al. , 2011 ). Psychodynamic theories of depression consider the role of feelings and behaviors in the etiology and persistence of depressive symptoms; these theories often focus on 1) one’s biology and temperamental vulnerabilities, 2) earliest attachment relationships, and 3) childhood experiences associated with frustration, helplessness, loss, guilty, or loneliness ( Busch et al. , 2016 ). While each group of theories has been critiqued and no one theory fully explains one’s experience with depression ( Mcleod, 2015 ; Ramnerö et al. , 2016 ), we propose that each may be helpful in understanding how aspects of graduate school may affect depression among PhD students.

The thoughts and behaviors associated with depression may in turn affect students’ experiences in graduate school, particularly their experiences with research and teaching. While no studies have examined how depression explicitly affects graduate students’ research experiences, studies have identified ways in which depression can affect students’ experiences in undergraduate research ( Cooper et al. , 2020a , b ). Undergraduate researchers report that their depression negatively affected their motivation, ability to concentrate and remember, intellectual engagement, and creativity in research ( Cooper et al. , 2020b ). Undergraduates described that their depression also caused them to be overly self-critical, less social, and ultimately negatively affected their research productivity. Additionally, undergraduates have been reluctant to share their depression with others in the lab, because they fear that they will be judged ( Cooper et al. , 2020b ). While these studies provide some insight into how depression may affect graduate students’ experience in research, there is much less information about how depression may affect graduate teaching.

In this study, we interviewed 50 PhD students in the life sciences who self-identified with having depression with the intent of answering two research questions that address gaps in the literature: 1) What specific aspects of graduate research and teaching affect PhD student depression? 2) How does PhD students’ depression affect their experience in research and teaching?

Student Interviews

This study was done under an approved Arizona State University Institutional Review Board protocol (no. 00011040).

In Fall 2019, we surveyed graduate students by sending an email out to program administrators of all life sciences graduate programs in the United States that are listed in U.S. News & World Report (2019) . Of the 259 graduate programs that we contacted, 75 (29.0%) program administrators agreed to forward our survey to students enrolled in their graduate programs. Of the 840 graduate students who participated in the survey, 459 (54.6%) self-identified as having depression based on general demographic questions on the survey. Of the 459 students who identified as having depression, 327 (71.2%) agreed to be contacted for a follow-up interview. In Summer 2020, we sent a recruitment email out to the 327 students who identified as having depression, asking to interview them about their experiences with depression in a PhD program. We specifically did not require that students be diagnosed with depression in order to participate in the interview study. We did not want to bias our sample, as mental health care is disproportionately unavailable to Black and Latinx individuals, as well as to those who come from low socioeconomic backgrounds ( Howell and McFeeters, 2008 ; Kataoka et al. , 2002 ; Santiago et al. , 2013 ). Of the students who were contacted, 50 PhD students (15.3%) enrolled across 28 life sciences PhD programs completed an interview.

The interview script was based on a previous interview script that we had developed, which successfully elicited what aspects of research affect depression in undergraduates and how depression affects their research ( Cooper et al. , 2020a ). Our previous work has shown that research experiences do not exclusively worsen depression, but that aspects of research can also help students manage their depression ( Cooper et al. , 2020a ). As such, our interview questions explored what aspects of research helped students manage their depression (positively affecting depression), and what aspects worsened students’ depression (negatively affecting depression). Additionally, we hypothesized that other prominent aspects of graduate school, such as teaching, would also affect PhD student depression and revised the interview script to include questions focused on examining the relationship between depression and teaching. We asked students what aspects of graduate research and teaching made their depression worse and what aspects helped them manage their depression. Participants were invited to come up with as many aspects as possible. We also asked how students perceived their depression affected their research and teaching. With the knowledge that we would be conducting interviews during summer of 2020 in the midst of the COVID-19 pandemic, and that the pandemic had likely exacerbated graduate student depression ( Chirikov et al. , 2020 ), we directed students to not reference aspects of research and teaching that were uniquely related to the pandemic (e.g., teaching remotely or halted research) when discussing the relationship between research, teaching, and depression. We were specifically interested in aspects of teaching and research that affected student depression before the pandemic and would presumably affect student depression afterward. We conducted think-aloud interviews with four graduate students who identified as having depression to ensure that our questions would not offend anyone with depression and to establish cognitive validity of the interview script by ensuring that each student understood what each question was asking. The interview script was iteratively revised after each think-aloud interview ( Trenor et al. , 2011 ). A final copy of the interview script can be found in the Supplemental Material.

All interviews were conducted using Zoom by one of two researchers (L.E.G. or K.M.C.). The average interview time was about 45 minutes. After the interview, all participants were sent a short survey to collect their demographics and additional information about their depression (a copy of the survey can be found in the Supplemental Material). Participants were provided a small monetary gift card in exchange for their time. All interviews were deidentified and transcribed before analysis.

Interview Analysis

Three researchers (L.E.G., N.J.W., and K.M.C.) independently reviewed 12 of the same randomly selected interviews to explore each idea that a participant expressed and to identify recurring themes ( Charmaz, 2006 ). Each researcher took detailed analytic notes during the review. After, the three researchers met to discuss their notes and to identify an initial set of recurring themes that occurred throughout the interviews ( Saldaña, 2015 ). The authors created an initial codebook outlining each theme and the related description. Together, the authors then reviewed the same set of five additional interviews to validate the themes outlined in the codebook and to identify any themes that may have been missed during the initial review. The researchers used constant comparison methods to compare quotes from the interviews to each theme and to establish whether any quotes were different enough from a particular theme to warrant an additional code ( Glesne and Peshkin, 1992 ). Together, the three researchers revised the codebook until they were confident that it captured the most common themes and that no new themes were emerging. A final copy of the codebook can be found in the Supplemental Material. Two authors (L.E.G. and N.J.W.) used the final codebook to code five randomly selected interviews (10% of all interviews) and their Cohen’s κ interrater score was at an acceptable level (κ = 0.94; Landis and Koch, 1977 ). Then, one researcher (N.J.W.) coded the remaining 45 interviews. In the text, we present themes mentioned by at least 10% of interviewees and use quotes to highlight themes. Some quotes were lightly edited for clarity.

Author Positionality

Some of the authors identify as having depression and some do not. One author had completed a PhD program (K.M.C.), one author was in the process of completing a PhD program (L.E.G.), and two authors were undergraduates (N.J.W. and I.F.) at the time when the interviews and analyses took place.

Interview Participants

Fifty PhD students agreed to participate in the study. Students were primarily women (58%), white (74%), and continuing-generation college students (78%). Twelve percent of students were international students, and the average age of the participants was 28 years old. While 20% of students were unsure of their career goals, 32% of students planned to pursue a career in academia, and 24% were planning to pursue a career in industry. Students reported how severe they perceived their depression to be, on average, during the time they had spent in their PhD programs. Most students reported their depression as either moderate (50%) or severe (28%). Eighty percent of students reported being diagnosed with depression, and 74% reported receiving treatment for depression. Participants were at different stages in their PhD programs ranging from first year to sixth year or more. Three students had graduated between the time they completed the initial survey and when they participated in the interview in Summer 2020. Students self-reported their main research areas and represented a broad range, with ecology and evolutionary biology (26%), animal science (14%), molecular biology (14%), and neurobiology (10%) being the most common. Eighty-six percent of students had experience teaching undergraduates, primarily as teaching assistants (TAs), at the time of the interviews. All student demographics are summarized in Table 1 .

Participant demographics

Student-level demographicsInterview participants ( = 50) (%)Research/teaching demographicsInterview participants ( = 50) (%)Depression demographicsInterview participants ( = 50) (%)
Gender Program year Severity of depression during graduate school
 Woman29 (58) First year4 (8) Mild7 (14)
 Man17 (34) Second year13 (26) Moderate25 (50)
 Nonbinary/gender fluid4 (8) Third year12 (24) Severe14 (28)
Race/ethnicity  Fourth year5 (10) Extremely severe4 (8)
 Asian/Pacific Islander4 (8) Fifth year7 (14) Diagnosed with depression
 Black/African American1 (2) Sixth year or more6 (12) Yes40 (80)
 Hispanic/Latinx4 (8) Recently graduated3 (6) No8 (16)
 White/Caucasian37 (74) Focus area of research  Decline to state2 (4)
 One or more race/ethnicity3 (6) Animal science7 (14) Treated for depression
 Decline to state1 (2) Biochemistry3 (6) Yes37 (74)
College generation status  Biological anthropology1 (2) No11 (22)
 First generation11 (22) Biology education1 (2) Decline to state2 (4)
 Non–first generation39 (78) Ecology/evolutionary biology13 (26) Treatment methods for depression
International status  Environmental and conservation biology2 (4) Medication3 (6)
 Yes6 (12) History and philosophy of science1 (2) Therapy/counseling12 (24)
 No44 (88) Immunology4 (8) Both medication and therapy/counseling21 (42)
Age  Microbiology1 (2) Decline to state14 (28)
 Mean (SD)28 (3.4) Molecular biology and genetics7 (14)
 Range23–40 Neurobiology5 (10)
Career goal  Physiology2 (4)
 Academia16 (32) Plant science3 (6)
 General research assistant8 (16) Teaching experience
 Industry12 (24) Yes43 (86)
 Science policy4 (8) No7 (14)
 Undecided10 (20)

The Effect of Research on Graduate Student Depression

Students more commonly identified ways that research negatively affected their depression than ways research positively affected their depression. Considering all factors that students listed and not just those that were most common, students on average listed two ways in which an aspect of research negatively affected their depression and one way in which an aspect of research positively affected their depression.

The most commonly reported aspect of research that worsened students’ depression was experiencing failures, obstacles, or setbacks in research. Specifically, students cited that failed experiments, failed research projects, and the rejection of manuscripts and grants was particularly difficult for their depression. Conversely, students highlighted that their depression was positively affected when they were able to make substantial progress on their research projects; for example, if they wrote part of a manuscript or if an experiment worked. Students also explained that accomplishing smaller or mundane research tasks was helpful for their depression, both because they felt as though they were checking off a box and also because it allowed them to focus on something other than the negative thoughts often associated with depression.

Students also highlighted that the unstructured nature of graduate research worsened their depression. Specifically, students described that, in graduate research, there are often no clear directions, sets of guidelines, or deadlines to help structure their day-to-day activities. Without this structure, students need to rely on their own motivation to outline goals, accomplish tasks, or seek help, which participants described can be difficult when one is experiencing a depressive episode. However, students also felt as though the unstructured nature of research benefited their depression, because it allowed for flexibility. Those who did not have frequent deadlines or strict schedules were able to not conduct research on days when they needed to recover from a depressive episode or schedule research around therapy or other activities that had a positive impact on their depression. Finally, students highlighted that their passion for their research was protective against depression. Their love for the subject of their research or thinking about how their work may have a positive impact on others could positively affect their motivation or mood.

Students described that their relationships with others in the lab also affected their depression. Specifically, if their mentors or others in their lab had unreasonable or overwhelming expectations of them, it could make them feel as though they would never be able to meet such expectations. Research also provides an environment for students to constantly compare themselves with others, both those in supervisory roles as well as peers. Notably, when students mentioned comparing themselves with others, this comparison never made them feel good about themselves, but was exclusively detrimental to their depression; they felt as though they would never be able to accomplish what others had already accomplished. Students’ relationships with their mentors also seemed to have a notable impact on their depression. Having a positive relationship with their mentors or a mentor who provided psychosocial support positively affected their depression, whereas perceiving a negative relationship with their mentors, particularly a mentor who provided consistently harsh or negative feedback, was detrimental. Students who had absent mentors or mentors who provided infrequent technical support and guidance also felt as though this situation worsened their depression, because it prevented or prolonged their success in research. Finally, students highlighted that conducting graduate research can be isolating, because you are often working on something different from those in the lab or because those outside graduate school cannot relate to the stress and struggles associated with research. However, in instances in which students were able to collaborate with others, this could be protective against depression, because it gave students a sense of comradery or validated their feelings about specific aspects of research. The most common research-related factors that students reported negatively and positively affected their depression and example student quotes of each factor are reported in Tables 2 and ​ and3, 3 , respectively.

Research-related factors that PhD students reported negatively affected their depression

FactorDescription% ( ) ( = 50)Example quoteExample quote
Failures, obstacles, or setbacks during researchExperiencing failure, obstacles, or setbacks in graduate school can negatively affect student depression. This commonly includes experiencing failed experiments or failed research projects, rejections of grant proposals, or rejections of papers.48 (24)Student 20: “Everything just fails and you have zero positive results and nothing you can publish. That was one of the worst things for me. The stress of knowing that you are not succeeding is really bad [for depression].”Student 5: “I could do everything perfectly and for one reason or another the whole project could just fail. So, I think the breakdown of that link between my actions and the outcome, that was hard.”
Unstructured research experiencesResearch experiences that are unstructured, that is, they do not have a clear set of directions or deadlines to guide the work, can negatively affect student depression.38 (19)Student 34: “My depression has not enjoyed or been spared by the fact that research is self-directed. Finding the equipment, finding the questions, finding the method rests on me.”Student 12: “For me, I think the periods of time post-classes were a lot harder in terms of mental health, where there aren’t as many external deadlines. You’re mostly driven by your own goals and ambitions every day. (…) But when [goals and ambitions] are dropped, it’s really easy for depression to kick in.”
Negative reinforcementNegative reinforcement from others in research such as harsh criticism, feedback, comments, or reviews about one’s research or performance can negatively affect student depression.34 (17)Student 26: “[Your mentor] will tell you how poorly you’re doing to inspire you to work harder, and that’s not something that works with me, because I already see everything that I’m doing wrong, and all the problems in a project, so I don’t need a mentor that points out those problems to me again, because I’m like, ‘Yeah, I [expletive] know all the problems! I should just quit, right?’”Student 7: “You say something stupid and your PI (principal investigator) suddenly says how stupid that is. And then all that just [makes me think] ‘I’m an idiot, I can’t do it.’”
Unreasonable or overwhelming expectationsMentors or others in research who place too high of expectations on students, particularly related to the progress that they are making in research, can negatively affect student depression.34 (17)Student 4: “My [previous] advisor had really high expectations and was really pushy. It really exacerbated my depression a lot, because I felt like I could never live up to the expectations.”Student 29: “I think when I’m working hard and where my hours are going doesn’t necessarily make sense to my advisor [it affects my depression]. I’m like, ‘No, I’m working, I’m working, I’m working.’ And then they’re like, ‘Well, but maybe work harder.’ That feels pretty bad.”
Opportunity to compare self to othersWhen students compare their success in research to others’ success, it can negatively affect their depression.28 (14)Student 24: “I think that I’m a huge person that compares themselves to others. When I hear others speak about their research or their progress, though it may not be light years away from mine, it feels that way. I get sad. I feel like I’m not where I’m supposed to be or that I don’t deserve to be where I’m at compared to others.”Student 44: “Sometimes I see my other cohort students succeeding and not even in a jealous way necessarily, but I do measure myself against them. If I haven’t gotten my first author publication yet or whatever, that means I’m behind the curve. I think part of [my depression] is just comparing myself to others.”
Lack of technical support or guidanceNot receiving adequate support or guidance in research can negatively affect student depression.22 (11)Student 18: “I’ve experienced my PI being very absent. And so, not having that touchstone of advice like, ‘Stop now, maybe stop while you’re ahead, or maybe you can change this,’ and then wasting all that time or feeling like I’ve wasted all that time can make it harder [on my depression].”Student 49: “You get thrown in the deep end on projects, and the lab has been so busy that there’s been no support. So, if you fall a little flat, then it’s just all on you where they’re like, ‘Oh man, I wish I could help you out with that or give you this support,’ and I feel like I’ve been set up to fail a lot.”
Social isolationFeeling isolated when doing research, either because others in the lab or others outside graduate school cannot relate to specific stressors and experiences, can negatively affect student depression.18 (9)Student 8: “[Doing research] is very isolating because obviously not many people go for PhDs. I can’t talk to [my friends] about research struggles because they’re like, ‘OK, how do I fix that? You did that to yourself.’ And I’m like, ‘I mean, you’re right, but…’ Nobody understands you.”Student 20: “I think that’s one thing [that affects my depression], when it comes to research, it’s quite a lonely experience sometimes when you’re working on your own project and everybody else has their own project. They have their own worries to think about and all you are stressing about is your own thing.”

Research-related factors that PhD students reported positively affected their depression

FactorDescription% ( ) ( = 50)Example quoteExample quote
Completing small or concrete research tasksCompleting small or concrete research tasks helps students feel like they have accomplished something or distracts their mind from negative thoughts, which can positively affect student depression.26 (13)Student 24: “When I’m doing wet lab work I’m in the zone, [it is good for my depression]. When I’m in that mode, it doesn’t allow me to be depressed, because I’m too busy to really overthink things.”Student 35: “I have a very simple goal, which is to collect my data and that’s all I think about for the entire day. I’m hiking, I’m listening to audio books, whatever. And so, there’s literally just no time for me to get caught up in my own mind.”
Working with othersInteracting with others can positively affect student depression.22 (11)Student 43: “Working collaboratively with other students and working consistently with faculty helps a lot [with my depression].”Student 20: “Friends, obviously, colleagues, people who share the same sentiment [help my depression]. It’s amazing to have people right next to you say, ‘Don’t worry about it, this happens to everyone. Try this, try that.’”
Passionate about research topicFeeling passionate about their research topic or caring about the potential impact of research can positively affect student depression.18 (9)Student 10: “I love vaccines, I love immunology, I love recombinant genetic engineering. That in itself actually does help [my depression] a lot because I get to learn more every day. (…) That absolutely helps [my depression] because it drives me.”Student 25: “I study plants and I really love plants and being around them. And so that’s been the best part is getting to work with plants in the greenhouse, and that feels helpful [for my depression].”
FlexibilityFlexibility in research allows students to feel as though they have control over their time and they can prioritize their mental health (e.g., by going to therapy or taking a mental health day) when necessary, which can positively affect student depression.18 (9)Student 12: “I can schedule therapy whenever. I’m not confined to a specific nine-to-five workday. (…) If I wake up one day and I’m really struggling, I can shift my weekends. I can be like, ‘All right. Today I need to take care of me,’ and then maybe I’ll work an extra day of the weekend if I need to catch up or something. So that flexibility can be really supportive.”Student 47: “Some jobs, you have to be there, whereas with grad school if I’m having a really bad day and I really feel like I can’t handle being in the lab, it’s a little easier for me to not have to be there or for me to rearrange my schedule so I’m doing [tasks] that are a little bit less stressful for me.”
Research progressMaking significant progress in research can positively affect student depression.16 (8)Student 46: “I will say [something that helps my depression] is when you are working really hard on the experiment, on the goal, and then finally you get something, when you get good data. This makes all of my effort worth it.”Student 1: “Making progress helps me feel less [depressed], when I am getting a lot of data. I never feel stressed about my productivity at those points in time.”
Emotionally supportive PIA positive mentor relationship, which often involves psychosocial support, can positively affect student depression.12 (6)Student 23: “Things that help [my depression] are having a supportive PI who you’re able to talk to about your mental illness, and who’s understanding.”Student 38: “If I didn’t have the advisors that I have now, I don’t know that I would be able to proceed through getting a PhD, because I have been able to be very open with them about my mental health struggles and the reality of how mental illness affects me and affects my life and my productivity. And they haven’t really rigorously pushed me beyond my stated limitations.”

The Effect of Teaching on Graduate Student Depression

We asked all graduate students who had teaching experience ( n = 43) how teaching affected their depression. Graduate students more commonly identified ways that teaching positively affected their depression than ways teaching negatively affected their depression. On average, considering all factors that graduate students listed and not just those that were most common, participants listed two ways in which teaching positively affected their depression and one way in which teaching negatively affected their depression.

Graduate students most commonly highlighted that teaching provided positive reinforcement from undergraduates, which helped them manage their depression. This positive reinforcement came in multiple forms ranging from formal teaching evaluations to positive verbal comments from undergraduates about how good a graduate student was at teaching to watching undergraduates accomplish academic goals or grasp complex concepts. A subset of graduate students highlighted that teaching was good for their depression, because it was something they were passionate about or that they genuinely enjoyed. As such, it was a source of happiness, as was being able to collaborate and form friendships with other TAs or instructors. Some graduate students also acknowledged that they felt confident teaching, often because they had mastered content that undergraduates had not. However, this was not always the case; some graduate students highlighted that a lack of teaching training and preparation negatively affected their self-efficacy as instructors, which in turn exacerbated their depression. This was further exacerbated by the pressure that graduate students put on themselves to perform well as instructors. The potential to have a negative impact on undergraduates and their learning experiences could worsen students’ depression by increasing the stress surrounding their performance as a teacher. Additionally, some graduate students received negative reinforcement from undergraduates, in the form of negative comments on formal teaching evaluations or disrespectful behavior from undergraduates such as groans or eye rolls, which graduate students explained negatively affected their self-efficacy, further worsening their depression.

Students also highlighted that teaching could negatively affect their depression because it interfered with the time they felt they needed to be spending on research or added to the large number of responsibilities they had as graduate students. However, some students welcomed time away from research; teaching sometimes served as a distraction from research-related stressors. Students also highlighted that teaching is structured, which positively affected their depression. That is, there are concrete tasks, such as grading, that need to be accomplished or places that the graduate student needs to be during a specific time. This structure helped motivate them to accomplish teaching goals, even if they were feeling a lack of motivation because of their depression. The most common teaching-related factors that graduate students reported negatively and positively affected their depression and example student quotes for each factor are reported in Tables 4 and ​ and5, 5 , respectively.

Teaching-related factors that PhD students reported negatively affected their depression

FactorDescription% ( ) ( = 43) Example quoteExample quote
Increases number of responsibilities/time away from researchTeaching adds to the total number of responsibilities that graduate students have and can interfere with the time that they feel they need to spend on research, which increases stress and can negatively affect student depression.47 (20)Student 10: “As a PhD student, you’re expected to publish, do all this research, and then also teach. A little while ago, I was both designing a class and teaching two sections at the same time, and I was spending so much time on that class. It was close to 40 hours per week plus research. I definitely was feeling overwhelmed, and I do think that can affect [my depression], because it leads to burnout.”Student 12: “Teaching often regularly leaves you with less time to focus on research. So, it is time away from research. And if I’m already feeling like I’m not doing enough, having the extra load of teaching can just amp that feeling up.”
Negative reinforcement from undergraduatesNegative reinforcement from undergraduates, in the form of being rude, disrespectful, or disengaged, or receiving negative scores and comments on teaching evaluations, can negatively affect student depression.28 (12)Student 29: “It [is hard for my depression] and really bums me out when [the undergraduates] don’t try. I put a lot into [teaching]. (…) The ones that are just like, ‘I don’t want to do this,’ and roll their eyes, it’s just hard. It’s like, I put so much into making [the content] clear and I’m trying. So, when the students are not really trying, it does not feel great.”Student 19: I’ve had students straight up tell me, ‘This is the least important class that I have to take this semester. I’m not going to put in much effort.’ And it makes me feel kind of crummy, kind of bad. When at the end of the semester, I get the teaching evaluations saying, ‘I just took this class because I need it or I had to. I didn’t think it added anything to my education.’ I feel very low.”
Personal pressure to teach wellFeeling an obligation to teach undergraduates well or ensure that they understand the course content can induce stress and negatively affect depression.26 (11)Student 16: “[My depression related to teaching] all comes back to the stress of having to do a good job for my students. I didn’t want to fail them. So that was difficult and I took [being a teacher] very seriously.”Student 40: “I think feeling like there were these undergrads depending on me [negatively affected by depression]. (…) If I haven’t sufficiently prepared to lead a discussion section or whatever, there are undergrads whose education will suffer. That added pressure was hard [on my depression] and just being afraid of letting them down.”
Lack of teaching training or guidanceNot having training or guidance about how to teach made students feel insecure about their teaching abilities, which can negatively affect their depression.16 (7)Student 25: “[My depression worsened] because I was concerned about the lack of supervision and the lack of support for how to teach. (…) I just felt like I was doing a terrible job, which was really discouraging.”Student 26: “I didn’t feel like I had enough guidance as to what I should be teaching [the undergraduates in my class] and how to control a classroom, so not having the respect of the students and not knowing how to get it was really stressful.”

a Forty-three out of the 50 students who participated in the study had experience teaching undergraduates either as a TA or as an instructor of record. We only considered the responses from the TAs with teaching experiences when calculating the percent of students who reported each factor.

Teaching-related factors that PhD students reported positively affected their depression

FactorDescription% ( ) ( = 43) Example quoteExample quote
Positive reinforcement from undergraduatesPositive reinforcement from undergraduates, in the form of positive verbal comments, positive comments on formal evaluations, or watching undergraduates grasp a concept or get excited about content, can positively affect student depression.58 (25)Student 15: “What really helped me during those depressive times were that my students would say like, ‘Sulfates in my shampoo, they’re not good for the water. I learned that from you.’”Student 5: “Interacting with my undergraduates and feeling like I made a difference for them [helps my depression]. Even if it was just something as simple as them saying like, ‘Oh, wow [Student 5], I feel like I actually really get this now,’ or ‘I did better on this exam after we went over material together.’”
Teaching as a structured taskThe structured nature of teaching, including having concrete tasks to accomplish and specific places to be at specific times, can positively affect student depression.33 (14)Student 27: “Sometimes having concrete tasks does [help my depression]. With research, you never have deadlines or things that get accomplished or finished. Where at least with teaching, you can sit down and you can grade for three hours. You can do things.”Student 8: “I have to have the test made by the time class starts on an exam day. I have to make sure that I’m there on time and that I don’t go over time, things like that. So just having that kind of strict schedule, I think helped [my depression].”
Passion for teachingBeing passionate about teaching and enjoying teaching can positively affect student depression.30 (13)Student 48: “I’ve always enjoyed teaching. One main reason I did a PhD was to teach at the postsecondary level. So, for me, honestly, the experience of interacting with students is energizing, and does rejuvenate me a lot.”Student 15: “[Teaching] gave me motivation and kind of like a reason to keep going. I love science, but I love the access to science that I can give to other people.”
Distraction from researchTeaching can serve as a distraction from stressors related to research, which can positively affect student depression.23 (10)Student 42: “Research is tedious and difficult and honestly I have to admit I never really had fun with it. But teaching is kind of a way away from that. It’s something that you can still do and you can still contribute like you’ve got a good job and you’re doing things. (…) It helped take my mind off of the hardships of what was going on during research.”Student 4: “[Teaching] is a good respite from my research sometimes. It’s a different side to being in school.”
Confidence about teachingHaving confidence about teaching, specifically about being a good teacher or having mastery of the content, can positively affect student depression.14 (6)Student 42: “[Teaching] is helpful for my depression because, like I am sorry if this is cocky sounding, but I’m really good at teaching and when I go in to teach, it’s like, ‘I know that this is right.’”Student 50: “It’s good to feel like an expert in front of this group of undergrads. When you come from maybe a lab, or field experience where you feel like you don’t know what you’re doing, it can be very positively reinforcing working with undergrads.”
Positive relationships with others teachingHaving positive relationships with others involved in teaching, particularly other TAs or a lead instructor, can positively affect student depression.12 (5)Student 16: “[Teaching] was really helpful for my depression, because I made friends with the other TAs, especially during my first year as a TA, and we were all new.”Student 28: “I had a co-TA giving a lecture with me and he was a very nice person. So, we became friends. Yeah. It helped [my depression] a little bit.”

The Effect of Depression on Graduate Research

In the interviews, we asked graduate students how their depression affected their graduate research, if at all. They identified three primary ways in which depression could affect research, all of which were negative. The most common way depression affected research was interfering with students’ motivation, which in turn affected their productivity. Students described that their productivity was affected immediately, for example, struggling to execute daily tasks like collecting or analyzing data. However, graduate students described that their lack of motivation ultimately resulted in larger consequences, such as delays in getting papers submitted and published. In fact, some graduate students explicitly stated that they felt as though they would have been able to graduate earlier if they had not had depression. The second way in which depression affected graduate students’ research is that it interfered with their ability to focus or concentrate. Students primarily explained that the lack of focus did not delay their research but caused their research to be less enjoyable or made them frustrated because they had to expend additional mental energy to execute tasks. Depression also caused students to be less confident or overly critical of themselves. Specifically, if an experiment did not go right or they experienced rejection of a manuscript, they tended to internalize it and blame themselves. This lack of confidence often inhibited students’ abilities to make decisions about research or take risks in research. They described frequently second-guessing themselves, which made decisions and taking risks in research more difficult. The most common ways students reported that their depression affected their research and example student quotes are reported in Table 6 .

Self-reported ways that depression affected PhD students’ research or the student as a researcher

ThemeDescription% ( ) ( = 50)Example quoteExample quote
Lack of motivation and productivityDepression can make students feel less motivated to do research, which can result in a lack of productivity. This lack of productivity can range from not being able to analyze a data set to not being able to write and submit a paper.64 (32)Student 3: “When I’m really depressed and I’m trying to do something that’s pretty positive and challenging, like write a manuscript, it tends to be really difficult. I can go from, when I’m not depressed, banging out some really good work, and then when I become depressed, that definitely tanks.”Student 35: “[Depression] keeps me from doing the things that I want to do, like every single day and be consistent. Like reading a paper every day or writing for an hour every day and it’s just like, I am so exhausted that I feel like I can’t do that. It increases procrastination.”
Low self-esteem or overly self-criticalDepression can cause students to doubt their abilities as a scientist, be self-critical, internalize failure, take unnecessary responsibility for something that did not work, and be hyperaware of any issues they may be having.58 (29)Student 10: “Sometimes I feel I’m an imposter. Internally I know that I have intelligence, but then it’s like I don’t know if I can do it. Everything is harder, and then my research will suffer.”Student 19: “[My depression] brings on this imposter syndrome. Like, ‘What am I doing in this program?’ So, I’m constantly struggling and battling those thoughts. Never feeling that you fit in, struggling with, ‘Are you good enough? Is what you’re doing good enough? Should I stay in this program?’”
Difficulty focusing and concentratingDepression can cause students to be distracted or unfocused or to struggle to pay attention to detail, which can result in feelings of frustration and exhaustion.28 (14)Student 9: “Because I was going through kind of a mental instability, I was unable to actually focus on what I was actively doing in lab. I was kind of like a zombie going in to work and getting out every day.”Student 40: “The trouble concentrating just makes everything harder when you just can’t seem to sit down and focus and get things done. I would say it’s made grad school harder, more frustrating, and less enjoyable because I just constantly feel like I’m behind and not doing enough.”

The Effect of Depression on Teaching

Graduate students described one positive way and two negative ways that depression affected their teaching. Students explained that, because they had experienced depression, they were more compassionate and empathetic toward the undergraduates in their courses. Specifically, they felt they could better understand some of the struggles that undergraduates experience and were sometimes more likely to be flexible or lenient about course requirements and deadlines if an undergraduate was struggling. However, graduate students reported that depression also negatively affected their teaching. Specifically, depression could cause graduate students to feel disconnected or disengaged from undergraduates. It could also cause graduate students to feel as though they had a lack of energy or felt down when teaching. The common self-reported ways that depression affected PhD students’ teaching and example quotes are reported in Table 7 .

Self-reported ways that depression affected PhD students’ teaching or the graduate student as an instructor

FactorDescription% ( ) ( = 43) Example quoteExample quote
Negative effects on depression on graduate student teaching
Disconnected or disengaged from undergraduatesDepression can cause graduate students to feel disengaged when teaching or to have trouble connecting with undergraduates.16 (7)Student 18: “[When I have depression], I can feel disconnected from the [undergraduates]. I’ll go to my day of teaching, I lead these discussion sections and I’m going through the motions. I don’t really put my full heart into it in terms of going out of my way to connect with the [undergraduates] or being more enthusiastic.”Student 49: “But there were many days that my depression, through various avenues, caused me to be absentminded [while teaching]. (…) Just less attentive and [less] engaged.”
Felt down or lacked energy when teachingDepression can cause graduate students to be less energetic or to have a low mood when teaching.14 (6)Student 4: “There’s been times where I’ve just been unable to prep for classes, or have prepped very little, just because I’m just struggling with myself and trying to get through things. It upsets me, because I feel like I’m letting the undergrads down.”Student 13: “I’m sure [my students] have been able to tell when I’ve shown up to classrooms just depressed. And that’s not what they’re paying for, and they’re paying a lot.”
Positive effect of depression on graduate student teaching
Understanding of student issuesDepression can positively impact graduate students as instructors because they are more understanding or sympathetic to student struggles, including mental health issues.23 (10)Student 16: “[My depression] maybe makes me a little more empathetic with the undergraduates that I teach. And I know that since depression is a big deal for me, it may be as big deal for them. I’m able to empathize better and help people seek out the right resources if necessary, and also give them a leniency that they need if they can’t accomplish something in the time it’s due because of their illness.”Student 48: “I think it makes me more empathetic to the plights of undergraduate students, because I know that they also experience a lot of these [mental health] problems, and so I think it makes me more sympathetic to their problems.”

a Forty-three out of the 50 students who participated in the study had experience teaching undergraduates either as a TA or as an instructor of record. We only considered the responses from the TAs with teaching experiences when calculating the percent of students who reported each theme.

Despite the increasing concern about graduate student mental health among those in the scientific community ( Pain, 2018 ; “The Mental Health of PhD Researchers,” 2019; Puri, 2019 ), there is a lack of information about how specific aspects of science PhD programs affect students with depression. This is the first study to explicitly investigate which particular aspects of research and teaching affect depression among life sciences PhD students and how depression, in turn, affects graduate students’ experiences in research and teaching. Overall, graduate students highlighted factors related to teaching and research that both alleviated and exacerbated their symptoms of depression. Graduate students more commonly brought up ways that research negatively affected their depression, than ways that it positively affected their depression. Conversely, graduate students more commonly mentioned ways that teaching had a positive effect on their depression compared with a negative effect. The requirement and opportunity to teach differs among life sciences graduate programs ( Schussler et al. , 2015 ; Shortlidge and Eddy, 2018 ). As such, future research should investigate whether the amount of teaching one engages in during graduate school is related to levels of graduate student depression. Despite differences in how teaching and research affect student depression, this study unveiled factors that protect against or worsen depressive symptoms. Specifically, four overarching factors affecting graduate student depression emerged from the interviews: 1) Structure; 2) Positive and Negative Reinforcement; 3) Failure and Success; 4) Social Support and Isolation. We discuss here how each of these factors may positively and negatively affect graduate student depression.

One stark contrast between research and teaching is the amount of structure in each activity. That is, students expressed that research goals are often amorphous, that there are not concrete instructions for what needs to be accomplished, and that there is often no set schedule for when particular tasks need to be accomplished. Conversely, with teaching, graduate students often knew what the goals were (e.g., to help students learn), exactly what they needed to accomplish each week (e.g., what to grade, what to teach), and when and where they needed to show up to teach (e.g., a class meets at a particular time). Graduate students highlighted that a lack of structure, particularly in research, was detrimental for their depression. Their depression often made it difficult for them to feel motivated when there was not a concrete task to accomplish. Major depression can interfere with executive function and cognition, making goal setting and goal achievement particularly difficult ( Elliott, 1998 ; Watkins and Brown, 2002 ). In fact, research has documented that individuals with depression generate less specific goals and less specific explanations for approaching a goal than individuals who do not have depression ( Dickson and Moberly, 2013 ). As such, it may be particularly helpful for students with depression when an activity is structured, relieving the student from the need to articulate specific goals and steps to achieve goals. Students noted that the lack of structure or the flexibility in research was helpful for their depression in one way: It allowed them to better treat their depression. Specifically, students highlighted that they were able to take time to go to therapy or to not go into the lab or to avoid stressful tasks, which may be important for successful recovery from a depressive episode ( Judd et al. , 2000 ).

Compared with conducting research, many participants reported that the concrete tasks associated with teaching undergraduates were helpful for their depression. This is supported by literature that illustrates that concrete thinking, as opposed to abstract thinking, can reduce difficulty making decisions in individuals with depression ( Dey et al. , 2018 ), presuming that teaching often requires more concrete thinking compared with research, which can be more abstract. Additionally, cognitive-behavioral treatments for depression have demonstrated that developing concrete goals for completing tasks is helpful for individuals with depression ( Detweiler-Bedell and Whisman, 2005 ), which aligns with graduate students’ perceptions that having concrete goals for completing teaching tasks was particularly helpful for their depression.

Positive and Negative Reinforcement

Graduate students reported that the negative reinforcement experienced in research and teaching had a significant negative effect on their depression, while the positive reinforcement students experienced only in teaching had a positive effect. Notably, students did not mention how positive reinforcement affected their depression in the context of research. Based on student interviews, we predict that this is not because they were unaffected by positive reinforcement in research, but because they experienced it so infrequently. Drawing from behavioral theories of depression, the concept of response-contingent positive reinforcement (RCPR; Lewinsohn, 1974 ; Kanter et al. , 2004 ) helps explain this finding. As summarized by Kanter and colleagues (2004) , RCPR describes someone seeking a response and being positively reinforced; for example, graduate students seeking feedback on their research are told that what they have accomplished is impressive. Infrequent RCPR may lead to cognitive symptoms of depression, such as low self-esteem or guilt, resulting in somatic symptoms of depression, such as fatigue and dysphoria ( Lewinsohn, 1974 ; Martell et al. , 2001 ; Manos et al. , 2010 ). RCPR is determined by three factors. 1) How many potential events may be positively reinforcing to an individual. For example, some people may find an undergraduate scoring highly on an exam in a class they are teaching to be reinforcing and others may find that they only feel reinforced when an undergraduate explicitly compliments their teaching. 2) The availability of reinforcing events in the environment. If graduate students’ mentors have the ability to provide them with RCPR but are never able to meet with them, these reinforcing events are unavailable to them. 3) The instrumental behavior of an individual. Does the individual exhibit the behavior required to obtain RCPR? If graduate students do not accomplish their research-related tasks on time, they may not receive RCPR from their mentor. If individuals are not positively reinforced for a particular behavior, they may stop exhibiting it, further exacerbating the depressive cycle ( Manos et al. , 2010 ). Therefore, the lack of positive reinforcement in research may be particularly damaging to graduate students, because it may discourage them from completing tasks, leading to additional depressive symptoms. Conversely, teaching presents many opportunities for positive reinforcement. Every time graduate students teach, they have the opportunity to receive positive reinforcement from their students or to witness a student’s academic accomplishment, such as an undergraduate expressing excitement when they understand a concept. As such, it is not surprising that positive reinforcement was the primary teaching-related factor that graduate students reported helped with their depression. Despite the positive reinforcement of teaching for graduate students with depression, we are not suggesting that graduate students should take on additional teaching loads or that teaching should be viewed as the sole respite for graduate students with depression. Overwhelming students with increased responsibilities may counteract any positive impact that teaching could have on students’ depression.

Failure and Success

Failure and success affected student depression, but only in the context of research; contrary to research, students rarely mentioned concrete metrics for success and failure in teaching. While graduate students highlighted receiving positive or negative reinforcement from undergraduates, they did not relate this to being a “successful” instructor. It is unsurprising that graduate students did not mention failing or succeeding at teaching, given that experts in teaching agree that it is difficult to objectively evaluate quality teaching ( d’Apollonia and Abrami, 1997 ; Kember et al. , 2002 ; Gormally et al. , 2014 ). In fact, the lack of teacher training and knowledge about how to teach effectively negatively affected student depression, because it could cause students to feel unprepared as an instructor. Integrating teacher training into graduate programs has been championed for decades ( Torvi, 1994 ; Tanner and Allen, 2006 ; Schussler et al. , 2015 ); however, the potential for such training to bolster graduate student mental health is new and should be considered in future research. With regard to graduate students’ research, the concept of success and failure was far more concrete; students mentioned failing in terms of failed experiments, research projects, and rejected manuscripts and grant proposals. Successes included accepted manuscripts, funded grant proposals, and concrete progress on significant tasks, such as writing or conducting an experiment that yielded usable data. Failure has been shown to negatively affect depression among undergraduate researchers ( Cooper et al. , 2020a ), who are hypothesized to be inadequately prepared to experience failure in science ( Henry et al. , 2019 ). However, it is less clear how well prepared graduate students are to experience failure ( Simpson and Maltese, 2017 ). Drawing from cognitive theories of depression, depression is associated with dysfunctional cognitive schemas or dysfunctional thinking that can lead individuals with depression to have negative thoughts about the world, themselves, and the future and to interpret information more negatively than is actually the case (called negative information-processing biases; Beck, 1967 ; Beck et al. , 1979 ; Gotlib and Krasnoperova, 1998 ; Maj et al. , 2020 ). Related to failure, individuals with dysfunctional cognitive schemas may harbor beliefs such as if something fails at work (or in graduate research), they are a failure as a person or that a small failure can be as detrimental as a larger failure ( Weissman, 1979 ; Miranda and Persons, 1988 ). As such, setbacks in research may be particularly difficult for PhD students with depression. Graduate students in our study also mentioned how failing in research was often out of their control, particularly failure related to experiments and research projects. The extent to which one feels they can control their environment is important for mental health, and lower estimates of control have been hypothesized to be an important factor for depression ( Grahek et al. , 2019 ). Therefore, this feeling of being unable to control success in research may further exacerbate student depression, but this would need to be tested. Importantly, these findings do not imply that individuals with depression are unable to cope with failure; they only suggest that individuals perceive that failure in science can exacerbate their depression.

Social Support and Isolation

Graduate students reported that feelings of isolation in research could worsen their depression. Specifically, they highlighted that it can be difficult for their mental health when their friends outside graduate school cannot relate to their struggles in research and when others in their research group are not working on similar projects. One study of more than 1400 graduate students at a single university found that feeling isolated from fellow graduate students and faculty positively predicted imposter phenomenon ( Cohen and McConnell, 2019 ), defined as the worry that they were fooling others about their abilities and that their fraudulence would be exposed ( Clance and Imes, 1978 ), which is positively correlated with depression among college students ( McGregor et al. , 2008 ). Developing a positive lab environment, where undergraduates, graduate students, and postgraduates develop positive relationships, has been shown to positively affect undergraduates ( Cooper et al. , 2019 ) and may also positively affect graduate students who experience such feelings of isolation. Graduate students in this study described that both teaching and research had the potential to be a source for relationship development and social support. Students who described positive collaborative relationships in research and teaching felt this had a positive impact on their depression, which aligns with a review of studies in psychiatry concluding that being connected to a large number of people and having individuals who are able to provide emotional support by listening or giving advice is protective against depression ( Santini et al. , 2015 ), as well as a study that found that social support is protective against depression, specifically among the graduate population ( Charles et al. , 2021 ).

These four factors provide clear targets for graduate programs looking to improve the experiences of students with depression. For example, increasing structure in research could be particularly helpful for graduate students with depression. Ensuring that students have concrete plans to accomplish each week may not only positively impact depression by increasing structure, but ultimately by increasing a student’s success in research. Research mentors can also emphasize the role of failure in science, helping students realize that failure is more common than they may perceive. Increasing opportunities for positive reinforcement in teaching and research may be another avenue to improving student mental health. Providing students with appropriate teacher training is a first step to enhancing their teaching skills and potential for positive reinforcement from undergraduate students ( Schussler et al. , 2015 ). Additionally, teaching evaluations, a common form of both positive and negative reinforcement, are known to be biased and disadvantage women, People of Color, and those with non–English speaking backgrounds ( Fan et al. , 2019 ; Chávez and Mitchell, 2020 ) and arguably should not be used to assess teaching. In research, mentors can make an effort to provide positive feedback or praise in meetings in addition to critiques. Finally, to provide social support to graduate students with depression, graduate programs could consider creating specific initiatives that are related to supporting the mental health of graduate students in their departments, such as a support group for students to meet and discuss their experiences in graduate school and how those experience pertain to their mental health.

Limitations and Directions for Future Research

In this study, we chose to only interview students with the identity of interest (depression), as is common with exploratory studies of individuals with underserved, underrepresented, or marginalized identities (e.g. Carlone and Johnson, 2007 ; Cooper and Brownell, 2016 ; Barnes et al. , 2017 , 2021 ; Downing et al. , 2020 ; Gin et al. , 2021 ; Pfeifer et al. , 2021 ). However, in future studies, it would be beneficial to also examine the experiences of individuals who do not have depression. This would provide information about the extent to which specific aspects of graduate research and teaching are disproportionately beneficial or challenging for students with depression. In this study, we did not explicitly examine whether there was a relationship between students’ identities and depression because of the small number of students in particular demographic groups. However, a theme that occurred rather infrequently (but is included in the Supplemental Material) is that discrimination or prejudice in the lab or academia could affect depression, which was reported exclusively by women and People of Color. As such, disaggregating whether gender and race/ethnicity predicts unique factors that exacerbate student depression is an important next step in understanding how to create more equitable and inclusive research and teaching environments for graduate students. Moreover, our sample included a significant number of students from ecology and evolutionary biology PhD programs, which may limit the generalizability of some findings. It is important to acknowledge potential subdisciplinary differences when considering how research may affect depression. Additionally, some of the factors that affect student depression, such as lack of teaching training and confidence in teaching, may be correlated with time spent in a graduate program. Future quantitative studies would benefit from examining whether the factors that affect student depression depend on the student’s subdiscipline and time spent in the graduate program. The primary focus of this study was the relationship between depression and graduate teaching/research. Many of the factors that emerged from the interviews are also associated with burnout ( Bianchi et al. , 2014 ; Maslach et al. , 2001 ). Burnout and depression are known to be highly related and often difficult to disaggregate ( Bianchi et al. , 2014 ). It was beyond the scope and design of this study to disaggregate which factors relate exclusively to the condition of burnout. Additionally, the interviews in this study were collected at a single time point. Thus, we are unable to differentiate between students who had depression before starting graduate school and students who experienced depression after starting graduate school. Future longitudinal studies could explore the effects of students’ experiences in research and teaching on their depression over time as well as on long-term outcomes such as persistence in graduate programs, length of time for degree completion, and career trajectory. This study identified a number of factors that graduate programs can address to benefit graduate student mental health, and we hope that future studies design and test interventions designed to improve the experiences of graduate students in teaching and research.

In this interview study of 50 life sciences PhD students with depression, we examined how graduate research and teaching affect students’ depressive symptoms. We also explored how depression affected graduate students’ teaching and research. We found that graduate students more commonly highlighted ways that research negatively affected their depression and ways that teaching positively affected their depression. Four overarching factors, three of which were related to both teaching and research, were commonly associated with student depression, including the amount of structure provided in research and teaching, failure and success, positive and negative reinforcement, and social connections and isolation. Additionally, graduate students identified depression as having an exclusively negative effect on their research, often hindering motivation, concentration, and self-esteem. However, they did note that depression made them more compassionate teachers, but also could cause them to have low energy or feel disconnected when teaching. This study provides concrete factors that graduate programs can target in hopes of improving the experiences of life sciences PhD students with depression.

Important Note

There are resources available if you or someone you know is experiencing depression and want help. Colleges and universities often have crisis hotlines and counseling services designed to provide students, staff, and faculty with treatment for depression. These can often be found by searching the university website. Additionally, there are free 24/7 services such as Crisis Text Line, which allows you to text a trained live crisis counselor (text “CONNECT” to 741741; Text Depression Hotline, 2019 ), and phone hotlines such as the National Suicide Prevention Lifeline at 1-800-273-8255 (TALK). If you would like to learn more about depression or depression help and resources near you, visit the Anxiety and Depression Association of American website: https://adaa.org ( Anxiety and Depression Association of America, 2019 ) and the Depression and Bipolar Support Alliance: http://dbsalliance.org ( Depression and Bipolar Support Alliance, 2019 ).

Acknowledgments

We are incredibly grateful to the 50 graduate students who were willing to share their personal experiences with us. We thank Sara Brownell, Tasneem Mohammed, Carly Busch, Maddie Ostwald, Lauren Neel, and Rachel Scott for their helpful feedback on earlier drafts of this work. L.E.G. was supported by an NSF Graduate Fellowship (DGE-1311230). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

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  • Stock market crash
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Great Depression: soup kitchen

What was the Great Depression?

What were the causes of the great depression, how did the great depression affect the american economy, how did the united states and other countries recover from the great depression, when did the great depression end.

Groups of depositors in front of the closed American Union Bank, New York City. April 26, 1932. Great Depression run on bank crowd

Great Depression

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Great Depression: soup kitchen

The Great Depression, which began in the United States in 1929 and spread worldwide, was the longest and most severe economic downturn in modern history. It was marked by steep declines in industrial production and in prices (deflation), mass unemployment , banking panics, and sharp increases in rates of poverty and homelessness.

Four factors played roles of varying importance. (1) The stock market crash of 1929 shattered confidence in the American economy, resulting in sharp reductions in spending and investment. (2) Banking panics in the early 1930s caused many banks to fail, decreasing the pool of money available for loans. (3) The gold standard required foreign central banks to raise interest rates to counteract trade imbalances with the United States, depressing spending and investment in those countries. (4) The Smoot-Hawley Tariff Act (1930) imposed steep tariffs on many industrial and agricultural goods, inviting retaliatory measures that ultimately reduced output and caused global trade to contract.

In the United States, where the Depression was generally worst, industrial production between 1929 and 1933 fell by nearly 47 percent, gross domestic product (GDP) declined by 30 percent, and unemployment reached more than 20 percent. Because of banking panics, 20 percent of banks in existence in 1930 had failed by 1933.

Three factors played roles of varying importance. (1) Abandonment of the gold standard and currency devaluation enabled some countries to increase their money supplies, which spurred spending, lending, and investment. (2) Fiscal expansion in the form of increased government spending on jobs and other social welfare programs , notably the New Deal in the United States, arguably stimulated production by increasing aggregate demand. (3) In the United States, greatly increased military spending in the years before the country’s entry into World War II helped to reduce unemployment to below its pre-Depression level by 1942, again increasing aggregate demand.

In most affected countries, the Great Depression was technically over by 1933, meaning that by then their economies had started to recover. Most did not experience full recovery until the late 1930s or early 1940s, however. The United States is generally thought to have fully recovered from the Great Depression by about 1939.

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Great Depression , worldwide economic downturn that began in 1929 and lasted until about 1939. It was the longest and most severe depression ever experienced by the industrialized Western world, sparking fundamental changes in economic institutions, macroeconomic policy, and economic theory. Although it originated in the United States , the Great Depression caused drastic declines in output, severe unemployment , and acute deflation in almost every country of the world. Its social and cultural effects were no less staggering, especially in the United States, where the Great Depression represented the harshest adversity faced by Americans since the Civil War .

Economic history

The impact of the Great Depression on Americans

The timing and severity of the Great Depression varied substantially across countries. The Depression was particularly long and severe in the United States and Europe ; it was milder in Japan and much of Latin America. Perhaps not surprisingly, the worst depression ever experienced by the world economy stemmed from a multitude of causes. Declines in consumer demand , financial panics , and misguided government policies caused economic output to fall in the United States, while the gold standard , which linked nearly all the countries of the world in a network of fixed currency exchange rates , played a key role in transmitting the American downturn to other countries. The recovery from the Great Depression was spurred largely by the abandonment of the gold standard and the ensuing monetary expansion. The economic impact of the Great Depression was enormous, including both extreme human suffering and profound changes in economic policy .

The Great Depression began in the United States as an ordinary recession in the summer of 1929. The downturn became markedly worse, however, in late 1929 and continued until early 1933. Real output and prices fell precipitously. Between the peak and the trough of the downturn, industrial production in the United States declined 47 percent and real gross domestic product (GDP) fell 30 percent. The wholesale price index declined 33 percent (such declines in the price level are referred to as deflation ). Although there is some debate about the reliability of the statistics, it is widely agreed that the unemployment rate exceeded 20 percent at its highest point. The severity of the Great Depression in the United States becomes especially clear when it is compared with America’s next worst recession, the Great Recession of 2007–09, during which the country’s real GDP declined just 4.3 percent and the unemployment rate peaked at less than 10 percent.

The Depression affected virtually every country of the world. However, the dates and magnitude of the downturn varied substantially across countries. Great Britain struggled with low growth and recession during most of the second half of the 1920s. The country did not slip into severe depression, however, until early 1930, and its peak-to-trough decline in industrial production was roughly one-third that of the United States. France also experienced a relatively short downturn in the early 1930s. The French recovery in 1932 and 1933, however, was short-lived. French industrial production and prices both fell substantially between 1933 and 1936. Germany ’s economy slipped into a downturn early in 1928 and then stabilized before turning down again in the third quarter of 1929. The decline in German industrial production was roughly equal to that in the United States. A number of countries in Latin America fell into depression in late 1928 and early 1929, slightly before the U.S. decline in output. While some less-developed countries experienced severe depressions, others, such as Argentina and Brazil , experienced comparatively mild downturns. Japan also experienced a mild depression, which began relatively late and ended relatively early.

The Great Depression Unemployed men queued outside a soup kitchen opened in Chicago by Al Capone The storefront sign reads 'Free Soup

The general price deflation evident in the United States was also present in other countries. Virtually every industrialized country endured declines in wholesale prices of 30 percent or more between 1929 and 1933. Because of the greater flexibility of the Japanese price structure, deflation in Japan was unusually rapid in 1930 and 1931. This rapid deflation may have helped to keep the decline in Japanese production relatively mild. The prices of primary commodities traded in world markets declined even more dramatically during this period. For example, the prices of coffee, cotton, silk, and rubber were reduced by roughly half just between September 1929 and December 1930. As a result, the terms of trade declined precipitously for producers of primary commodities .

dissertation grande depression

The U.S. recovery began in the spring of 1933. Output grew rapidly in the mid-1930s: real GDP rose at an average rate of 9 percent per year between 1933 and 1937. Output had fallen so deeply in the early years of the 1930s, however, that it remained substantially below its long-run trend path throughout this period. In 1937–38 the United States suffered another severe downturn, but after mid-1938 the American economy grew even more rapidly than in the mid-1930s. The country’s output finally returned to its long-run trend path in 1942.

Recovery in the rest of the world varied greatly. The British economy stopped declining soon after Great Britain abandoned the gold standard in September 1931, although genuine recovery did not begin until the end of 1932. The economies of a number of Latin American countries began to strengthen in late 1931 and early 1932. Germany and Japan both began to recover in the fall of 1932. Canada and many smaller European countries started to revive at about the same time as the United States, early in 1933. On the other hand, France, which experienced severe depression later than most countries, did not firmly enter the recovery phase until 1938.

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Essays on the Great Depression

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  • Language: English
  • Publisher: Princeton University Press
  • Copyright year: 2000
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  • Published: January 9, 2024
  • ISBN: 9780691259666
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Composition : l'impact de la crise de 1929 : déséquilibres économiques et sociaux

Analyse du sujet, problématique, proposition de plan, i. des états désemparés face à la crise , ii. des états qui mettent en œuvre de nouvelles solutions face au coût économique et social de la crise., iii. des états transformés par la crise..

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