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Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data

Producción científica: Comment/debate

12 Citas (Scopus)

Resumen

There is a large literature on earnings and income volatility in labor economics, household finance, and macroeconomics. One strand of that literature has studied whether individual earnings volatility has risen or fallen in the United States over the last several decades. There are strong disagreements in the empirical literature on this important question, with some studies showing upward trends, some showing downward trends, and some showing no trends. Some studies have suggested that the differences are the result of using flawed survey data instead of more accurate administrative data. This article summarizes the results of a project attempting to reconcile these findings with four different datasets and six different data series—three survey and three administrative data series, including two which match survey respondent data to their administrative data. Using common specifications, measures of volatility, and other treatments of the data, four of the six data series show a lack of any significant long-term trend in male earnings volatility over the last 20-to-30+ years when differences across the datasets are properly accounted for. A fifth data series (the PSID) shows a positive net trend but small in magnitude. A sixth, administrative, dataset, available only since 1998, shows no net trend 1998–2011 and only a small decline thereafter. Many of the remaining differences across data series can be explained by differences in their cross-sectional distribution of earnings, particularly differences in the size of the lower tail. We conclude that the datasets we have analyzed, which include many of the most important available, show little evidence of any significant trend in male earnings volatility since the mid-1980s.

Idioma originalEnglish
Páginas (desde-hasta)1-11
Número de páginas11
PublicaciónJournal of Business and Economic Statistics
Volumen41
N.º1
DOI
EstadoPublished - 2022

Nota bibliográfica

Publisher Copyright:
© 2022 American Statistical Association.

Financiación

No funding was received for the work on this article. The authors would like to thank Joe Altonji, the participants in a Summer 2019 meeting sponsored by the Washington Center for Equitable Growth, the participants of the Summer 2020 NBER Conference in Research and Wealth workshop, the participants of the June 2021 Summer meetings of the Econometric Society, and the participants of a seminar at the Chicago Federal Reserve Bank for comments. This draft also incorporates suggestions made by the JBES editorial staff and referees on individual articles.

Financiadores
Winter Econometric Society
Washington Center for Equitable Growth Incorporated

    ASJC Scopus subject areas

    • Statistics and Probability
    • Social Sciences (miscellaneous)
    • Economics and Econometrics
    • Statistics, Probability and Uncertainty

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