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Do Stockholders Share Risk More Effectively than Nonstockholders?

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  • Fatih Guvenen

    (Department of Economics, University of Texas)

Abstract

This paper analyzes the extent of risk-sharing among stockholders and nonstockholders. To evaluate the empirical importance of market incompleteness, it is essential to determine whether idiosyncratic shocks are important for the wealthy who have access to better insurance opportunities, but also face different risks, than the average household. We study a model where each period households decide whether to participate in the stock market by paying a fixed cost. Due to this endogenous entry decision, the testable implications of perfect risk-sharing take the form of a sample selection model, which we estimate using a semiparametric GMM estimator proposed by Kyriazidou (2001). Using data from PSID, we strongly reject perfect risk-sharing among stockholders, but perhaps surprisingly, do not find evidence against it among nonstockholders. This result appears to be robust to several extensions. This finding suggests further focus on risk factors that primarily affect the wealthy, such as entrepreneurial income risk. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Fatih Guvenen, 2007. "Do Stockholders Share Risk More Effectively than Nonstockholders?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 275-288, May.
  • Handle: RePEc:tpr:restat:v:89:y:2007:i:2:p:275-288
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    Cited by:

    1. Khorunzhina, Natalia, 2013. "Structural estimation of stock market participation costs," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2928-2942.
    2. Fatih Guvenen, 2011. "Macroeconomics with hetereogeneity : a practical guide," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(3Q), pages 255-326.
    3. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    4. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2019. "Investor sophistication and capital income inequality," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 18-31.
    5. Gervais, Martin & Klein, Paul, 2009. "Measuring consumption smoothing in CEX data," Discussion Paper Series In Economics And Econometrics 0906, Economics Division, School of Social Sciences, University of Southampton.
    6. Kuo-Shing Chen & Chien-Chiang Lee & Huolien Tsai, 2019. "Taxation of Wealthy Individuals, Inequality Governance and Corporate Social Responsibility," Sustainability, MDPI, vol. 11(7), pages 1-23, March.
    7. Gervais, Martin & Klein, Paul, 2010. "Measuring consumption smoothing in CEX data," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 988-999, November.
    8. Monteiro, Paulo Santos, 2008. "Testing Full Consumption Insurance in the Frequency Domain," Economic Research Papers 269910, University of Warwick - Department of Economics.
    9. Jonathan B. Berk & Johan Walden, 2013. "Limited Capital Market Participation and Human Capital Risk," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 3(1), pages 1-37.
    10. Lixin Tang, 2020. "Entrepreneur Income Inequality, Aggregate Saving and the Gains from Trade," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 273-295, October.
    11. Giacomo De Giorgi & Luca Gambetti, 2012. "Consumption Heterogeneity over the Business Cycle," Working Papers 646, Barcelona School of Economics.
    12. Santos Monteiro, Paulo, 2008. "Testing Full Consumption Insurance in the Frequency Domain," The Warwick Economics Research Paper Series (TWERPS) 874, University of Warwick, Department of Economics.
    13. Christian Friedrich, 2015. "Does Financial Integration Increase Welfare? Evidence from International Household-Level Data," Staff Working Papers 15-4, Bank of Canada.
    14. Lixin Tang, 2014. "Top Income Inequality, Aggregate Saving and the Gains from Trade," 2014 Papers pta581, Job Market Papers.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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