(Translated by https://www.hiragana.jp/)
What Do Data on Millions of U.S. Workers Say About Life Cycle Income Risk?
IDEAS home Printed from https://ideas.repec.org/p/mrr/papers/wp302.html
   My bibliography  Save this paper

What Do Data on Millions of U.S. Workers Say About Life Cycle Income Risk?

Author

Listed:
  • Fatih Guvenen

    (University of Minnesota)

  • Fatih Karahan

    (Federal Reserve Bank of New York)

  • Serdar Ozkan

    (Federal Reserve Board)

  • Jae Song

    (Social Security Administration)

Abstract

This paper sheds new light on individual labor income risk using a unique and confidential dataset from the Social Security Administration on individuals' earnings histories. The substantial sample size allows us to cut the data in different and novel ways and document how earnings risk varies over the lifecycle and across individuals that differ in their lifetime income. The main conclusion of our research is that earnings risk varies significantly across the population in the following ways. First, the overall size of income risk becomes smaller with age, from age 25 to 50 and then increases again. Second, as individuals age, the likelihood of getting very small and very large shocks increases relative to the likelihood of middling shocks. Third, income shocks become more left skewed with age, meaning that, relative to the average change in income, a large fall becomes more likely than a large rise as individuals get older. Finally, earnings growth rates are dramatically different for individuals ranked by their lifetime income: individuals with lifetime earnings in the top 5% experience a growth rate from age 25 to 55 that is 10 times larger than individuals with average lifetime earnings. To provide useful input to policy relevant research, we estimate an econometric process that captures these salient features of earnings dynamics to provide a reliable “user's guide” for applied economists.

Suggested Citation

  • Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2013. "What Do Data on Millions of U.S. Workers Say About Life Cycle Income Risk?," Working Papers wp302, University of Michigan, Michigan Retirement Research Center.
    • Handle: RePEc:mrr:papers:wp302
    as

    Download full text from publisher

    File URL: http://mrdrc.isr.umich.edu/publications/Papers/pdf/wp302.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    2. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    3. Hubbard, R Glenn & Skinner, Jonathan & Zeldes, Stephen P, 1995. "Precautionary Saving and Social Insurance," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 360-399, April.
    4. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    5. Kjetil Storesletten & Chris I. Telmer & Amir Yaron, 2004. "Cyclical Dynamics in Idiosyncratic Labor Market Risk," Journal of Political Economy, University of Chicago Press, vol. 112(3), pages 695-717, June.
    6. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fatih Guvenen & Serdar Ozkan & Jae Song, 2014. "The Nature of Countercyclical Income Risk," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 621-660.
    2. Martin Nybom & Jan Stuhler, 2017. "Biases in Standard Measures of Intergenerational Income Dependence," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 800-825.
    3. Mikhail Golosov & Aleh Tsyvinski & Nicolas Werquin, 2014. "A Variational Approach to the Analysis of Tax Systems," NBER Working Papers 20780, National Bureau of Economic Research, Inc.
    4. Mikhail Golosov & Maxim Troshkin & Aleh Tsyvinski, 2016. "Redistribution and Social Insurance," American Economic Review, American Economic Association, vol. 106(2), pages 359-386, February.
    5. Aubhik Khan, 2017. "Large Recessions in an Overlapping Generations with Unemployment," 2017 Meeting Papers 1559, Society for Economic Dynamics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreas Hubener & Raimond Maurer & Olivia S. Mitchell, 2016. "How Family Status and Social Security Claiming Options Shape Optimal Life Cycle Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 937-978.
    2. Serdar Ozkan & Jae Song & Fatih Karahan & Fatih Guvenen, 2013. "What Do Data on Millions of U.S. Workers Say About Labor Income Risk?," 2013 Meeting Papers 1271, Society for Economic Dynamics.
    3. Masakatsu Okubo, 2015. "Earnings Dynamics and Profile Heterogeneity: Estimates from Japanese Panel Data," The Japanese Economic Review, Japanese Economic Association, vol. 66(1), pages 112-146, March.
    4. Elin Halvorsen & Serdar Ozkan & Sergio Salgado, 2022. "Earnings dynamics and its intergenerational transmission: Evidence from Norway," Quantitative Economics, Econometric Society, vol. 13(4), pages 1707-1746, November.
    5. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2022. "Income risk inequality: Evidence from Spanish administrative records," Quantitative Economics, Econometric Society, vol. 13(4), pages 1747-1801, November.
    6. Carlos Madeira, 2015. "Identification of Earning Dynamics using Rotating Samples over Short Periods: The Case of Chile," Working Papers Central Bank of Chile 754, Central Bank of Chile.
    7. 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.
    8. Fatih Guvenen & Serdar Ozkan & Jae Song, 2014. "The Nature of Countercyclical Income Risk," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 621-660.
    9. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    10. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    11. Robert Moffitt & Sisi Zhang, 2018. "The PSID and Income Volatility: Its Record of Seminal Research and Some New Findings," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 48-81, November.
    12. Cristóbal Huneeus & Andrea Repetto, 2005. "The Dynamics of Earnings in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Jorge Restrepo & Andrea Tokman R. & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Edi (ed.),Labor Markets and Institutions, edition 1, volume 8, chapter 12, pages 383-410, Central Bank of Chile.
    13. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    14. Gustafsson, Johan & Holmberg, Johan, 2022. "Permanent and transitory earnings dynamics and lifetime income inequality in Sweden," Umeå Economic Studies 1005, Umeå University, Department of Economics.
    15. Nayoung Lee & Hyungsik Roger Moon, 2021. "Heterogeneous Income Profiles Model with Fixed Effects: Incorporating Labour Income Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1377-1407, December.
    16. Luca Benzon & Olena Chyruk, 2015. "The Value and Risk of Human Capital," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 179-200, December.
    17. Alexander Zimper & Alexander Ludwig & Max Groneck, 2012. "A Life-Cycle Consumption Model with Ambiguous Survival Beliefs," 2012 Meeting Papers 693, Society for Economic Dynamics.
    18. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Quantitative Macroeconomics with Heterogeneous Households," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 319-354, May.
    19. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    20. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mrr:papers:wp302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MRRC Administrator (email available below). General contact details of provider: https://edirc.repec.org/data/isumius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.