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Subjective Earnings Risk

Author

Listed:
  • Andrew Caplin

    (New York University)

  • Victoria Gregory

    (FRB St. Louis)

  • Eungik Lee

    (New York University)

  • Soeren Leth-Petersen

    (University of Copenhagen)

  • Johan Saeverud

    (University of Copenhagen)

Abstract

Earnings risk is central to economic analysis. While this risk is essentially subjective, it is typically inferred from administrative data. Following the lead of Dominitz and Manski (1997), we introduce a survey instrument to measure subjective earnings risk. We pay particular attention to the expected impact of job transitions on earnings. A link with administrative data provides multiple credibility checks. It also shows subjective earnings risk to be far lower than its administratively estimated counterpart. This divergence arises because expected earnings growth is heterogeneous, even within narrow demographic and earnings cells. We calibrate a life-cycle model of search and matching to administrative data and compare the model-implied expectations with our survey instrument. This calibration produces far higher estimates of individual earnings risk than do our subjective expectations, regardless of age, earnings, and whether or not workers switch jobs. This divergence highlights the need for survey-based measures of subjective earnings risk.

Suggested Citation

  • Andrew Caplin & Victoria Gregory & Eungik Lee & Soeren Leth-Petersen & Johan Saeverud, 2023. "Subjective Earnings Risk," CEBI working paper series 23-01, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
  • Handle: RePEc:kud:kucebi:2301
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    File URL: https://www.econ.ku.dk/cebi/publikationer/working-papers/CEBI_WP_01-23.rev1.pdf
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    Cited by:

    1. Bairoliya, Neha & McKiernan, Kathleen, 2024. "The welfare costs of misinformation," Journal of Economic Dynamics and Control, Elsevier, vol. 169(C).
    2. Caldwell, Sydnee & Hägele, Ingrid & Heining, Jörg, 2025. "Bargaining and Inequality in the Labor Market," IAB-Discussion Paper 202502, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Tao Wang, 2023. "Perceived versus Calibrated Income Risks in Heterogeneous-Agent Consumption Models," Staff Working Papers 23-59, Bank of Canada.

    More about this item

    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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