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Wage Dispersion, Returns to Skill, and Black-White Wage Differentials

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  • David Card
  • Thomas Lemieux

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.

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Bibliographic Info

Paper provided by Princeton University, Department of Economics, Industrial Relations Section. in its series Working Papers with number 691.

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Date of creation: Feb 1993
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Handle: RePEc:pri:indrel:dsp01n583xt98n

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Postal: Firestone Library, Princeton, New Jersey 08544-2098
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Web page: http://www.irs.princeton.edu/
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Keywords: wage dispersion; human capital; black-white wage differentials;

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References

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  1. Murphy, Kevin M & Welch, Finis, 1992. "The Structure of Wages," The Quarterly Journal of Economics, MIT Press, vol. 107(1), pages 285-326, February.
  2. Bound, John & Freeman, Richard B, 1992. "What Went Wrong? The Erosion of Relative Earnings and Employment among Young Black Men in the 1980s," The Quarterly Journal of Economics, MIT Press, vol. 107(1), pages 201-32, February.
  3. David Card & Alan B. Krueger, 1991. "School Quality and Black-White Relative Earnings: A Direct Assessment," NBER Working Papers 3713, National Bureau of Economic Research, Inc.
  4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  5. Lee Lillard & James P. Smith & Finis Welch, 2004. "What Do We Really Know About Wages: The Importance of Nonreporting and Census Imputation," Labor and Demography 0404005, EconWPA.
  6. Cockburn, Iain & Griliches, Zvi, 1988. "Industry Effects and Appropriability Measures in the Stock Market's Valuation of R&D and Patents," American Economic Review, American Economic Association, vol. 78(2), pages 419-23, May.
  7. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June.
  8. Smith, James P & Welch, Finis R, 1989. "Black Economic Progress after Myrdal," Journal of Economic Literature, American Economic Association, vol. 27(2), pages 519-64, June.
  9. Francine D. Blau & Lawrence Kahn, 1995. "The Gender Earnings Gap: Some International Evidence," NBER Chapters, in: Differences and Changes in Wage Structures, pages 105-144 National Bureau of Economic Research, Inc.
  10. Bound, John & Johnson, George, 1992. "Changes in the Structure of Wages in the 1980's: An Evaluation of Alternative Explanations," American Economic Review, American Economic Association, vol. 82(3), pages 371-92, June.
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