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

40 Pages Posted: 19 May 2022 Last revised: 6 May 2025

See all articles by Robert A. Moffitt

Robert A. Moffitt

Johns Hopkins University - Department of Economics; National Bureau of Economic Research (NBER)

Christopher R. Bollinger

University of Kentucky - Department of Economics

Charles Hokayem

U.S. Census Bureau

Emily Wiemers

University of Massachusetts Boston

John M. Abowd

Cornell University Department of Economics; Labor Dynamics Institute; Cornell University - School of Industrial and Labor Relations; National Bureau of Economic Research (NBER); CREST; IZA Institute of Labor Economics

Michael Carr

University of Massachusetts Boston

Kevin L McKinney

University of California, Los Angeles (UCLA)

Sisi Zhang

Jinan University

James Ziliak

University of Kentucky

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Abstract

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 U.S. 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 paper summarizes the results of a project attempting to reconcile these findings with four different data sets 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 data sets are properly accounted for. A fifth data series (the PSID) shows a positive net trend but small in magnitude. A sixth, administrative, data set, 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 data sets 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.

Keywords: administrative data, earnings, volatility

JEL Classification: J3

Suggested Citation

Moffitt, Robert and Bollinger, Christopher R. and Hokayem, Charles and Wiemers, Emily and Abowd, John and Carr, Michael and McKinney, Kevin L and Zhang, Sisi and Ziliak, James, Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data. IZA Discussion Paper No. 15093, Available at SSRN: https://ssrn.com/abstract=4114639

Robert Moffitt (Contact Author)

Johns Hopkins University - Department of Economics ( email )

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National Bureau of Economic Research (NBER)

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Christopher R. Bollinger

University of Kentucky - Department of Economics ( email )

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Charles Hokayem

U.S. Census Bureau

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Emily Wiemers

University of Massachusetts Boston ( email )

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John Abowd

Cornell University Department of Economics ( email )

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HOME PAGE: http://https://blogs.cornell.edu/abowd/

Labor Dynamics Institute ( email )

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HOME PAGE: http://www.ilr.cornell.edu/LDI/

Cornell University - School of Industrial and Labor Relations ( email )

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National Bureau of Economic Research (NBER) ( email )

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CREST ( email )

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IZA Institute of Labor Economics

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Michael Carr

University of Massachusetts Boston

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Kevin L McKinney

University of California, Los Angeles (UCLA) ( email )

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Sisi Zhang

Jinan University

Huang Pu Da Dao Xi 601, Tian He District
Guangzhou, 510632
China

James Ziliak

University of Kentucky

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