IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v199y2021ics0165176520304626.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176520304626
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2020.109702?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    6. 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.
    7. 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.
    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. 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.
    10. Sabelhaus, John & Song, Jae, 2010. "The great moderation in micro labor earnings," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 391-403, May.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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. 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.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Robert A. Moffitt, 2020. "Reconciling Trends in U.S. Male Earnings Volatility: Results from a Four Data Set Project," NBER Working Papers 27664, National Bureau of Economic Research, Inc.
    7. Robert Moffitt & Sisi Zhang, 2018. "Income Volatility and the PSID: Past Research and New Results," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 277-280, May.
    8. Markus Jäntti & Stephen P. Jenkins, 2013. "Income Mobility," SOEPpapers on Multidisciplinary Panel Data Research 607, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. David Card & Dean R. Hyslop, 2018. "Female Earnings Inequality: The Changing Role of Family Characteristics on the Extensive and Intensive Margins," NBER Working Papers 25387, National Bureau of Economic Research, Inc.
    10. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    11. 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.
    12. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    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. Paula Garda & Volker Ziemann, 2014. "Economic Policies and Microeconomic Stability: A Literature Review and Some Empirics," OECD Economics Department Working Papers 1115, OECD Publishing.
    15. Cappellari, Lorenzo & Jenkins, Stephen P., 2013. "Earnings and Labour Market Volatility in Britain," IZA Discussion Papers 7491, Institute of Labor Economics (IZA).
    16. Chinhui Juhn & Kristin McCue & Holly Monti & Brooks Pierce, 2018. "Firm Performance and the Volatility of Worker Earnings," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 99-131.
    17. Riphahn, Regina T. & Schnitzlein, Daniel D., 2016. "Wage mobility in East and West Germany," Labour Economics, Elsevier, vol. 39(C), pages 11-34.
    18. Hryshko, Dmytro & Juhn, Chinhui & McCue, Kristin, 2017. "Trends in earnings inequality and earnings instability among U.S. couples: How important is assortative matching?," Labour Economics, Elsevier, vol. 48(C), pages 168-182.
    19. Jonathan A. Schwabish & Julie H. Topoleski, 2013. "Modeling Individual Earnings in CBO’s Long-Term Microsimulation Model: Working Paper 2013-04," Working Papers 44306, Congressional Budget Office.
    20. Ludwig, Johannes, 2015. "The role of education and household composition for transitory and permanent income inequality–evidence from PSID data," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 129-146.

    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

    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:eee:ecolet:v:199:y:2021:i:c:s0165176520304626. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.