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Consumption and Savings Under Non-Gaussian Income Risk

Author

Listed:
  • Fatih Guvenen

    (University of Minnesota)

  • Fatih Karahan

    (Federal Reserve Bank of New York)

  • Serdar Ozkan

    (University of Toronto)

Abstract

Recently, Guvenen et al. (2017) document three broad empirical findings on idiosyncratic earnings risk over the life cycle. First, the distribution of earnings changes displays substantial deviations from lognormality—the standard assumption in the incomplete markets literature. In particular, earnings changes display strong negative skewness and extremely high kurtosis. Second, these non-Gaussian features vary significantly both over the life cycle and with the earnings level of individuals. Third, shocks have "asymmetric mean reversion": For high income individuals positive earnings shocks are quite transitory, whereas negative shocks are very long-lasting, and vice versa for low income workers. In this paper, we study consumption-savings implications of these features of the data. For this purpose we solve and simulate a life-cycle consumption-savings model that allows for non-Gaussian income risk. The idiosyncratic income fluctuations we document generate large welfare costs, and the implications for wealth inequality and partial insurance differ from those of a Gaussian process in important ways.

Suggested Citation

  • Fatih Guvenen & Fatih Karahan & Serdar Ozkan, 2018. "Consumption and Savings Under Non-Gaussian Income Risk," 2018 Meeting Papers 314, Society for Economic Dynamics.
  • Handle: RePEc:red:sed018:314
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    References listed on IDEAS

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    Cited by:

    1. Corsetti, Giancarlo & Lipinska, Anna & Lombardo, Giovanni, 2021. "Sharing Asymmetric Tail Risk: Smoothing, Asset Pricing and Terms of Trade," CEPR Discussion Papers 16443, C.E.P.R. Discussion Papers.
    2. Giancarlo Corsetti & Anna Lipinska & Giovanni Lombardo, 2021. "Sharing Asymmetric Tail Risk: Smoothing, Asset Prices and Terms of Trade," International Finance Discussion Papers 1324, Board of Governors of the Federal Reserve System (U.S.).
    3. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.

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