Using Internal Current Population Survey Data to Reevaluate Trends in Labor Earnings Gaps by Gender, Race and Education Level

36 Pages Posted: 29 Jul 2009

See all articles by Richard V. Burkhauser

Richard V. Burkhauser

Cornell University - Department of Policy Analysis & Management (PAM); University of Melbourne, Melbourne Institute

Jeff Larrimore

Board of Governors of the Federal Reserve System

Date Written: July 1, 2008

Abstract

Most empirical studies of trends in labor earnings gaps by gender, race or education level are based on data from the public use March Current Population Survey (CPS). Using the internal March CPS, we show that inconsistent topcoding in the public use data will understate these gaps and inaccurately capture their trends. We create a cell mean series beginning in 1975 that provides the mean of all values above the topcode for each income source in the public use March CPS and better approximate earnings gaps found in the internal March CPS than was previously possible using publically available data.

Suggested Citation

Burkhauser, Richard V. and Larrimore, Jeff, Using Internal Current Population Survey Data to Reevaluate Trends in Labor Earnings Gaps by Gender, Race and Education Level (July 1, 2008). US Census Bureau Center for Economic Studies Paper No. CES-WP- 08-18, Available at SSRN: https://ssrn.com/abstract=1440892 or http://dx.doi.org/10.2139/ssrn.1440892

Richard V. Burkhauser (Contact Author)

Cornell University - Department of Policy Analysis & Management (PAM) ( email )

120 Martha Van Rensselaer Hall
Ithaca, NY 14853
United States

University of Melbourne, Melbourne Institute ( email )

Level 5, FBE Building, 111 Barry Street
161 Barry Street
Carlton, VIC 3053
Australia

Jeff Larrimore

Board of Governors of the Federal Reserve System ( email )

20th Street and Constitution Avenue NW
Washington, DC 20551
United States

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