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The role of low earnings in differing trends in male earnings volatility

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  • Carr, Michael D.
  • Wiemers, Emily E.

Abstract

Trends in male earnings volatility vary across studies. Volatility is flat or increasing in most studies using survey data but falling in recent studies using administrative data. This paper uses Survey of Income and Program Participation data linked to administrative earnings histories from the Detailed Earnings Records to investigate the effect of the treatment of low earnings on earnings volatility. We show that volatility trends are sensitive to the treatment of low earnings: when low earnings are treated as is typically done with survey data, volatility is flat or increasing slightly, but when low earnings are treated as in recent studies using administrative earnings data, volatility declines.

Suggested Citation

  • Carr, Michael D. & Wiemers, Emily E., 2021. "The role of low earnings in differing trends in male earnings volatility," Economics Letters, Elsevier, vol. 199(C).
  • Handle: RePEc:eee:ecolet:v:199:y:2021:i:c:s0165176520304626
    DOI: 10.1016/j.econlet.2020.109702
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    1. Celik Sule & Juhn Chinhui & McCue Kristin & Thompson Jesse, 2012. "Recent Trends in Earnings Volatility: Evidence from Survey and Administrative Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(2), pages 1-26, June.
    2. Jason DeBacker & Bradley Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2013. "Rising Inequality: Transitory or Persistent? New Evidence from a Panel of U.S. Tax Returns," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 67-142.
    3. Ziliak, James P. & Hardy, Bradley & Bollinger, Christopher, 2011. "Earnings volatility in America: Evidence from matched CPS," Labour Economics, Elsevier, vol. 18(6), pages 742-754.
    4. Kevin L. McKinney & John M. Abowd, 2022. "Male Earnings Volatility in LEHD Before, During, and After the Great Recession," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 33-39, December.
    5. Christopher R. Bollinger & Amitabh Chandra, 2005. "Iatrogenic Specification Error: A Cautionary Tale of Cleaning Data," Journal of Labor Economics, University of Chicago Press, vol. 23(2), pages 235-258, April.
    6. Michael D. Carr & Emily E. Wiemers, 2018. "New Evidence on Earnings Volatility in Survey and Administrative Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 287-291, May.
    7. Jason DeBacker & Bradley Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2013. "Rising Inequality: Transitory or Persistent? New Evidence from a Panel of U.S. Tax Returns," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 67-142.
    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. Shin, Donggyun & Solon, Gary, 2011. "Trends in men's earnings volatility: What does the Panel Study of Income Dynamics show?," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 973-982, August.
    10. Bradley Hardy & James P. Ziliak, 2014. "Decomposing Trends In Income Volatility: The “Wild Ride” At The Top And Bottom," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 459-476, January.
    11. Christopher R. Bollinger & Barry T. Hirsch & Charles M. Hokayem & James P. Ziliak, 2019. "Trouble in the Tails? What We Know about Earnings Nonresponse 30 Years after Lillard, Smith, and Welch," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2143-2185.
    12. James P. Ziliak & Charles Hokayem & Christopher R. Bollinger, 2022. "Trends in Earnings Volatility Using Linked Administrative and Survey Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 12-19, December.
    13. Molly Dahl & Thomas DeLeire & Jonathan A. Schwabish, 2011. "Estimates of Year-to-Year Volatility in Earnings and in Household Incomes from Administrative, Survey, and Matched Data," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 750-774.
    14. Sabelhaus, John & Song, Jae, 2009. "Earnings Volatility Across Groups and Time," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(2), pages 347-364, June.
    15. Michael D. Carr & Robert A. Moffitt & Emily E. Wiemers, 2020. "Reconciling Trends in Volatility: Evidence from the SIPP Survey and Administrative Data," NBER Working Papers 27672, National Bureau of Economic Research, Inc.
    16. Robert Moffitt & Sisi Zhang, 2022. "Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 20-25, December.
    17. Sabelhaus, John & Song, Jae, 2010. "The great moderation in micro labor earnings," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 391-403, May.
    18. 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.
    19. Robert A. Moffitt & Peter Gottschalk, 2012. "Trends in the Transitory Variance of Male Earnings: Methods and Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 204-236.
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    Cited by:

    1. Robert Moffitt & John Abowd & Christopher Bollinger & Michael Carr & Charles Hokayem & Kevin McKinney & Emily Wiemers & Sisi Zhang & James Ziliak, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 1-11, December.

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    More about this item

    Keywords

    Volatility; Administrative data; SIPP GSF;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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