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Asymmetric Business-Cycle Risk and Social Insurance

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  • Christopher Busch
  • David Domeij
  • Fatih Guvenen
  • Rocio Madera

Abstract

This paper studies the business-cycle variation in higher-order (labor) income risk—that is, risks that are captured by moments higher than the variance. We examine the extent to which such risks can be smoothed within households or with government social insurance and tax policies. We use panel data from three countries that differ in many aspects relevant for our analysis: the United States, Germany, and Sweden. Our analysis has three main results. First, using individual gross income, we document that skewness is procyclical and dispersion (variance) is flat and acyclical in Germany and Sweden, as was previously documented for the United States. The same patterns hold true for groups defined by education, gender, public- versus private-sector jobs, among others. Second, household-level income displays cyclical patterns that are very similar to individual income, indicating that within-household smoothing is not very effective at mitigating business cycle fluctuations in skewness. Third, government tax and transfer programs blunt some of the largest declines in incomes, reducing procyclical fluctuations in skewness, especially in Germany and Sweden. The resulting welfare gain—through the lens of a structural model—amounts to 1.3% in consumption-equivalent terms for Sweden (for which we are able to perform this calculation). However, the remaining risk (in household disposable income) is still substantial: households are willing to pay 4.6% of their consumption to completely eliminate procyclical fluctuations in skewness.

Suggested Citation

  • Christopher Busch & David Domeij & Fatih Guvenen & Rocio Madera, 2018. "Asymmetric Business-Cycle Risk and Social Insurance," NBER Working Papers 24569, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24569
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    2. Leonel Muinelo-Gallo & Ronald Miranda, 2020. "The Behaviour of Social Transfers over the Business Cycle: Empirical Evidence of Uruguay," Hacienda Pública Española / Review of Public Economics, IEF, vol. 233(2), pages 25-54, June.
    3. De Nardi, Mariacristina & Fella, Giulio & Knoef, Marike & Paz-Pardo, Gonzalo & Van Ooijen, Raun, 2021. "Family and government insurance: Wage, earnings, and income risks in the Netherlands and the U.S," Journal of Public Economics, Elsevier, vol. 193(C).
    4. Hoffmann, Eran B. & Malacrino, Davide, 2019. "Employment time and the cyclicality of earnings growth," Journal of Public Economics, Elsevier, vol. 169(C), pages 160-171.
    5. Manuel Arellano & Stéphane Bonhomme, 2023. "Recovering Latent Variables by Matching," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(541), pages 693-706, January.
    6. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.
    7. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," Staff Reports 925, Federal Reserve Bank of New York.
    8. Muinelo-Gallo, Leonel, 2022. "Business cycles and redistribution: The role of government quality," Economic Systems, Elsevier, vol. 46(4).
    9. Makoto Nakajima & Vladimir Smirnyagin, 2019. "Cyclical Labor Income Risk," Opportunity and Inclusive Growth Institute Working Papers 22, Federal Reserve Bank of Minneapolis.
    10. Elin Halvorsen & Hans A Holter & Serdar Ozkan & Kjetil Storesletten, 2024. "Dissecting Idiosyncratic Earnings Risk," Journal of the European Economic Association, European Economic Association, vol. 22(2), pages 617-668.
    11. Silvia Avram & Mike Brewer & Paul Fisher & Laura Fumagalli, 2022. "Household Earnings and Income Volatility in the UK, 2009–2017," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 345-369, June.
    12. Ana Sofia Pessoa, 2021. "Earnings Dynamics in Germany," CESifo Working Paper Series 9117, CESifo.
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    15. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2024. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 116-151, March.
    16. Sebastian Graves, 2020. "Does Unemployment Risk Affect Business Cycle Dynamics?," International Finance Discussion Papers 1298, Board of Governors of the Federal Reserve System (U.S.).

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    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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