IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v108y2018p287-91.html
   My bibliography  Save this article

New Evidence on Earnings Volatility in Survey and Administrative Data

Author

Listed:
  • Michael D. Carr
  • Emily E. Wiemers

Abstract

Despite the rise in cross-sectional inequality since the late 1990s, there is little consensus on trends in earnings volatility during this period. Using consistent samples and methods in administrative earnings data matched to the Survey of Income and Program Participation (SIPP GSF) and survey data from the Panel Study of Income Dynamics (PSID), we examine earnings volatility for men from 1978 through 2011. In contrast to the apparent inconsistency in trends across administrative and survey data in the existing literature, we find recent increases in volatility in the SIPP GSF and the PSID, though increases are larger in the PSID.

Suggested Citation

  • 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.
    • Handle: RePEc:aea:apandp:v:108:y:2018:p:287-91
    Note: DOI: 10.1257/pandp.20181050
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20181050
    Download Restriction: no
    File URL: https://www.aeaweb.org/articles/attachments?retrieve=xvgl83Zh5xXk0regLKx7ZBzdnSoyB9oz
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    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.
    2. Luis Ayala & Ana Pérez & Mercedes Prieto-Alaiz, 2022. "The impact of different data sources on the level and structure of income inequality," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(3), pages 583-611, September.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Jonathan Fisher & Bradley L. Hardy, 2023. "Money matters: consumption variability across the income distribution," Fiscal Studies, John Wiley & Sons, vol. 44(3), pages 275-298, September.
    10. Moshe Justman & Hadas Stiassnie, 2021. "Inequality in Lifetime Earnings, 1986-2012," Working Papers 579, ECINEQ, Society for the Study of Economic Inequality.
    11. Carr, Michael D. & Wiemers, Emily E., 2022. "The decline in long-term earnings mobility in the U.S.: Evidence from survey-linked administrative data," Labour Economics, Elsevier, vol. 78(C).

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:aea:apandp:v:108:y:2018:p:287-91. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.