Wage Dispersion, Returns to Skill, and Black-White Wage Differentials
David Card and
Thomas Lemieux
No 4365, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
During the 1980s wage differentials between younger and older workers and between more and less educated workers expanded rapidly. Wage dispersion among individuals with the same age and education also rose. A simple explanation for both sets of facts is that earnings represent a return to a one-dimensional index of skill, and that the rate of return to skill rose over the decade. We explore a simple method for estimating and testing 'single index' models of wages. Our approach integrates 3 dimensions of skill: age, education, and unobserved ability. We find that a one-dimensional skill model gives a relatively successful account of changes in the structure of wages for white men and women between 1979 and 1989. We then use the estimated models for whites to analyze recent changes in the relative wages of black men and women.
JEL-codes: J31 J71 (search for similar items in EconPapers)
Date: 1993-05
Note: LS
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Published as Journal of Econometrics, vol.74, pp.319-361, October 1996.
Downloads: (external link)
http://www.nber.org/papers/w4365.pdf (application/pdf)
Related works:
Journal Article: Wage dispersion, returns to skill, and black-white wage differentials (1996) 
Working Paper: Wage Dispersion, Returns to Skill, and Black-White Wage Differentials (1993) 
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:nbr:nberwo:4365
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w4365
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().