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Nonlinear household earnings dynamics, self-insurance, and welfare

Author

Listed:
  • Mariacristina De Nardi

    (UCL, Federal Reserve Bank of Chicago, IFS, CEPR, and NBER)

  • Giulio Fella

    (Queen Mary University of London, CFM, and IFS)

  • Gonzalo Paz Pardo

    (UCL)

Abstract

Earnings dynamics are much richer than typically assumed in macro models with heterogeneous agents. This holds for individual-pre-tax and household-post-tax earnings and across administrative (Social Security Administration) and survey (Panel Study of Income Dynamics) data. We study the implications of two processes for household, post-tax earnings in a standard life-cycle model: a canonical earnings process (that includes a persistent and a transitory shock) and a rich earnings dynamics process (that allows for age-dependence of moments, non-normality, and nonlinearity in previous earnings and age). Allowing for richer earnings dynamics implies a substantially better t of the evolution of cross-sectional consumption inequality over the life cycle and of the individual-level degree of consumption insurance against persistent earnings shocks. Richer earnings dynamics also imply lower welfare costs of earnings risk, but, as the canonical earnings process, do not generate enough concentration at the upper tail of the wealth distribution.

Suggested Citation

  • Mariacristina De Nardi & Giulio Fella & Gonzalo Paz Pardo, 2018. "Nonlinear household earnings dynamics, self-insurance, and welfare," Working Papers 860, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:860
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    References listed on IDEAS

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    1. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2015. "What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?," NBER Working Papers 20913, National Bureau of Economic Research, Inc.
    2. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 63-92.
    3. Mariacristina De Nardi & Giulio Fella, 2017. "Saving and Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 280-300, October.
    4. repec:hal:spmain:info:hdl:2441/eu4vqp9ompqllr09j008g6g0g is not listed on IDEAS
    5. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    6. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    7. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    8. Giulio Fella & Giovanni Gallipoli & Jutong Pan, 2019. "Markov-Chain Approximations for Life-Cycle Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 183-201, October.
    9. Krueger, D. & Mitman, K. & Perri, F., 2016. "Macroeconomics and Household Heterogeneity," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 843-921, Elsevier.
    10. Moritz Kuhn & José-Víctor Ríos-Rull, 2016. "2013 Update on the U.S. Earnings, Income, and Wealth Distributional Facts: A View from Macroeconomics," Quarterly Review, Federal Reserve Bank of Minneapolis, issue April, pages 1-75.
    11. Michael Graber & Jeremy Lise, 2016. "Labor Market Frictions, Human Capital Accumulation, and Consumption Inequality," 2016 Meeting Papers 136, Society for Economic Dynamics.
    12. Mariacristina De Nardi & Eric French & John B. Jones, 2010. "Why Do the Elderly Save? The Role of Medical Expenses," Journal of Political Economy, University of Chicago Press, vol. 118(1), pages 39-75, February.
    13. Haider, Steven J, 2001. "Earnings Instability and Earnings Inequality of Males in the United States: 1967-1991," Journal of Labor Economics, University of Chicago Press, vol. 19(4), pages 799-836, October.
    14. Juan Carlos Conesa & Sagiri Kitao & Dirk Krueger, 2009. "Taxing Capital? Not a Bad Idea after All!," American Economic Review, American Economic Association, vol. 99(1), pages 25-48, March.
    15. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    16. Geweke, John & Keane, Michael, 2000. "An empirical analysis of earnings dynamics among men in the PSID: 1968-1989," Journal of Econometrics, Elsevier, vol. 96(2), pages 293-356, June.
    17. Tullio Jappelli & Luigi Pistaferri, 2006. "Intertemporal Choice and Consumption Mobility," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 75-115, March.
    18. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    19. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    20. Greg Kaplan & Giovanni L. Violante, 2010. "How Much Consumption Insurance beyond Self-Insurance?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 53-87, October.
    21. Dirk Krueger & Fabrizio Perri, 2006. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(1), pages 163-193.
    22. John Karl Scholz & Ananth Seshadri & Surachai Khitatrakun, 2006. "Are Americans Saving "Optimally" for Retirement?," Journal of Political Economy, University of Chicago Press, vol. 114(4), pages 607-643, August.
    23. Mariacristina De Nardi & Giulio Fella & Gonzalo Paz Pardo, 2016. "The Implications of Richer Earnings Dynamics for Consumption and Wealth," NBER Working Papers 21917, National Bureau of Economic Research, Inc.
    24. Fatih Guvenen & Anthony A. Smith, 2014. "Inferring Labor Income Risk and Partial Insurance From Economic Choices," Econometrica, Econometric Society, vol. 82, pages 2085-2129, November.
    25. Fatih Karahan & Serdar Ozkan, 2013. "On the Persistence of Income Shocks over the Life Cycle: Evidence, Theory, and Implications," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 452-476, July.
    26. Orazio P. Attanasio & Luigi Pistaferri, 2016. "Consumption Inequality," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 3-28, Spring.
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    More about this item

    Keywords

    Earnings risk; savings; consumption; inequality; life cycle;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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