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Earnings Risk in the Household: Evidence from Millions of US Tax Returns

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  • Seth Pruitt
  • Nicholas Turner

Abstract

Using detailed Internal Revenue Service administrative data on millions of households, we find that households effectively insure against much of the risk facing primary earners. We show that households face less risk than males alone, and households face roughly half the countercyclical risk increase. As a result of these risk differences, household certainty equivalent earnings are 19 percent higher than for males alone, and household certainty equivalent earnings fall by about half as much during recessions. To facilitate related research, we make available the aggregated data used in our analysis.

Suggested Citation

  • Seth Pruitt & Nicholas Turner, 2020. "Earnings Risk in the Household: Evidence from Millions of US Tax Returns," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 237-254, June.
    • Handle: RePEc:aea:aerins:v:2:y:2020:i:2:p:237-54
    DOI: 10.1257/aeri.20190096
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    References listed on IDEAS

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    1. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    2. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
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    Cited by:

    1. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey, 2020. "This Time It's Different: The Role of Women's Employment in a Pandemic Recession," Working Papers 2020-057, Human Capital and Economic Opportunity Working Group.
    2. Christopher Busch & David Domeij & Fatih Guvenen & Rocio Madera, 2022. "Skewed Idiosyncratic Income Risk over the Business Cycle: Sources and Insurance," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 207-242, April.
    3. Andrew Taeho Kim & Matt Erickson & Yurong Zhang & ChangHwan Kim, 2022. "Who is the “She” in the Pandemic “She-Cession”? Variation in COVID-19 Labor Market Outcomes by Gender and Family Status," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1325-1358, June.
    4. Søren Leth‐Petersen & Johan Sæverud, 2022. "Inequality and dynamics of earnings and disposable income in Denmark 1987–2016," Quantitative Economics, Econometric Society, vol. 13(4), pages 1493-1526, November.
    5. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.
    6. Bloemen, Hans, 2021. "Labor Market Transitions of Members of Opposite-Sex Couples: Nonparticipation, Unemployed Search, and Employment," IZA Discussion Papers 14673, Institute of Labor Economics (IZA).
    7. Tertilt, Michèle & Doepke, Matthias & Olmstead-Rumsey, Jane, 2020. "This Time It’s Different: The Role of Women’s Employment in a Pandemic Recession," CEPR Discussion Papers 15149, C.E.P.R. Discussion Papers.
    8. Ana Sofia Pessoa, 2021. "Earnings Dynamics in Germany," CESifo Working Paper Series 9117, CESifo.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

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