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

Richard Burkhauser and Jeff Larrimore

Working Papers from U.S. Census Bureau, Center for Economic Studies

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.

Pages: 36 pages
Date: 2008-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www2.census.gov/ces/wp/2008/CES-WP-08-18.pdf First version, 2008 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:08-18

Access Statistics for this paper

More papers in Working Papers from U.S. Census Bureau, Center for Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dawn Anderson ().