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How important is precautionary labour supply?

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  • Robin Jessen
  • Davud Rostam-Afschar
  • Sebastian Schmitz

Abstract

We quantify the importance of precautionary labour supply defined as the difference between hours supplied in the presence of risk and hours under perfect foresight. Using the German Socio-Economic Panel from 2001 to 2012, we estimate the effect of wage risk on labour supply and test for constrained adjustment of labour supply. We find that married men choose on average about 2.8% of their hours of work to shield against wage shocks. The effect is strongest for self-employed, who we find to be unconstrained in their hours choices, but also relevant for other groups with more persistent hours constraints. If the self-employed faced the same wage risk as the median civil servant, their hours of work would be reduced by 4.5%.

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  • Robin Jessen & Davud Rostam-Afschar & Sebastian Schmitz, 2018. "How important is precautionary labour supply?," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 868-891.
    • Handle: RePEc:oup:oxecpp:v:70:y:2018:i:3:p:868-891.
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    3. Davud Rostam‐Afschar & Kristina Strohmaier, 2019. "Does Regulation Trade Off Quality against Inequality? The Case of German Architects and Construction Engineers," British Journal of Industrial Relations, London School of Economics, vol. 57(4), pages 870-893, December.
    4. Alessandro Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: A Stochastic Optimal Control Approach," Risks, MDPI, vol. 6(2), pages 1-20, April.
    5. Mariacristina Rossi & Dario Sansone, 2018. "Precautionary savings and the self-employed," Small Business Economics, Springer, vol. 51(1), pages 105-127, June.
    6. Pora, Pierre & Wilner, Lionel, 2020. "A decomposition of labor earnings growth: Recovering Gaussianity?," Labour Economics, Elsevier, vol. 63(C).
    7. Alessandro Milazzo & Elena Vigna, 2018. "“The Italian Pension Gap: a Stochastic Optimal Control Approach"," CeRP Working Papers 179, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    8. Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 335-371.
    9. Helmut Herwartz & David Rodriguez-Justicia & Bernd Theilen, 2022. "A New Measure of Wage Risk: Occupation-Specific Evidence for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1427-1462, December.

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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