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Heterogeneity and Tests of Risk Sharing

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  • Sam Schulhofer-Wohl

Abstract

How well do people share risk? Standard risk-sharing regressions assume that any variation in households' risk preferences is uncorrelated with variation in the cyclicality of income. I combine administrative and survey data to show that this assumption is questionable: Risk-tolerant workers hold jobs in which earnings carry more aggregate risk. The correlation makes risk-sharing regressions in the previous literature too pessimistic. I derive techniques that eliminate the bias, apply them to U.S. data, and find that the effect of idiosyncratic income shocks on consumption is practically small and statistically difficult to distinguish from zero.

Suggested Citation

  • Sam Schulhofer-Wohl, 2011. "Heterogeneity and Tests of Risk Sharing," Journal of Political Economy, University of Chicago Press, vol. 119(5), pages 925-958.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/662720
    DOI: 10.1086/662720
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    1. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Imputing consumption in the PSID using food demand estimates from the CEX," IFS Working Papers W04/27, Institute for Fiscal Studies.
    2. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    3. Ethan Ligon & Jonathan P. Thomas & Tim Worrall, 2002. "Informal Insurance Arrangements with Limited Commitment: Theory and Evidence from Village Economies," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 209-244.
    4. Nelson, J.A., 1993. "On Testing for Full Insurance Using Consumer Expenditures Survey Data," Papers 93-02, California Davis - Institute of Governmental Affairs.
    5. Gary Solon & Robert Barsky & Jonathan A. Parker, 1994. "Measuring the Cyclicality of Real Wages: How Important is Composition Bias?," The Quarterly Journal of Economics, Oxford University Press, vol. 109(1), pages 1-25.
    6. Ogaki, Masao & Zhang, Qiang, 2001. "Decreasing Relative Risk Aversion and Tests of Risk Sharing," Econometrica, Econometric Society, vol. 69(2), pages 515-526, March.
    7. Maurizio Mazzocco & Shiv Saini, 2012. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences," American Economic Review, American Economic Association, vol. 102(1), pages 428-468, February.
    8. Susan Dynarski & Jonathan Gruber, 1997. "Can Families Smooth Variable Earnings?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 229-303.
    9. Pierre Dubois, 2000. "Consumption Insurance with Heterogeneous Preferences. Can Sharecropping Help Complete Markets?," Econometric Society World Congress 2000 Contributed Papers 1597, Econometric Society.
    10. Kaivan Munshi & Mark R. Rosenzweig, 2005. "Why is Mobility in India so Low? Social Insurance, Inequality, and Growth," CID Working Papers 121, Center for International Development at Harvard University.
    11. Nelson, Julie A, 1994. "On Testing for Full Insurance Using Consumer Expenditure Survey Data: Comment," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 384-394, April.
    12. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 537-579.
    13. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2014. "Consumption and Labor Supply with Partial Insurance: An Analytical Framework," American Economic Review, American Economic Association, vol. 104(7), pages 2075-2126, July.
    14. Heathcote, Jonathan & Storesletten, Kjetil & Violante, Giovanni L., 2008. "Insurance and opportunities: A welfare analysis of labor market risk," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 501-525, April.
    15. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    16. Guiso, Luigi & Jappelli, Tullio & Pistaferri, Luigi, 2002. "An Empirical Analysis of Earnings and Employment Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 241-253, April.
    17. Kiefer, Nicholas M., 1980. "Estimation of fixed effect models for time series of cross-sections with arbitrary intertemporal covariance," Journal of Econometrics, Elsevier, vol. 14(2), pages 195-202, October.
    18. Sam Schulhofer-Wohl, 2007. "Heterogeneity, Risk Sharing and the Welfare Costs of Risk," 2007 Meeting Papers 926, Society for Economic Dynamics.
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