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The Gender Gap Reloaded: Is School Quality Linked to Labor Market Performance?

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  • Konstantopoulos, Spyros

    ()
    (Michigan State University)

  • Constant, Amelie F.

    ()
    (George Washington University, Temple University)

Abstract

This study examines the gender gap in wages of young adults in the late 1970s, mid 1980s, and 2000, in the middle and the tails of the wage distribution using quantile regression. We also examine the importance of school quality indicators in predicting future labor market performance. We conduct analyses for three major racial groups in the US: Whites, Blacks, and Hispanics. We employ base year and follow up data from two rich longitudinal studies: the National Longitudinal Study (NLS) of high school seniors in 1972 and the National Education Longitudinal Study (NELS) of eighth graders in 1988. Our results indicate that school quality is an important predictor of and positively associated to future wages for Whites, but it is less so for the two minority groups. We confirm significant gender disparities in wages favoring men across three surveys in the 1970s, 1980s, and 2000 that are unaccounted for. While the unexplained gender gap is evident across the entire wage distribution, it is more pronounced for Whites and less pronounced for Blacks and Hispanics. Overall, the gender gap in wages is more pronounced in higher paid jobs (top 10 percent) for all groups, indicating the presence of a n alarming "glass ceiling."

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 1830.

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Length: 42 pages
Date of creation: Nov 2005
Date of revision:
Handle: RePEc:iza:izadps:dp1830

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Keywords: quantile regression; wages; gender differences; school quality; school effects;

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References

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  1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  2. Marianne Bertrand & Kevin Hallock, 1999. "The Gender Gap in Top Corporate Jobs," Working Papers 805, Princeton University, Department of Economics, Industrial Relations Section..
  3. Blau, Francine D & Kahn, Lawrence M, 1996. "International Differences in Male Wage Inequality: Institutions versus Market Forces," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 791-836, August.
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  13. Carnoy, Martin, 1996. "Education and racial inequality: The human capital explanation revisited," Economics of Education Review, Elsevier, vol. 15(3), pages 259-272, June.
  14. O'Neill, June, 1990. "The Role of Human Capital in Earnings Differences between Black and White Men," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 25-45, Fall.
  15. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  17. Blau, Francine D. & Kahn, Lawrence M., 1999. "Analyzing the gender pay gap," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(5), pages 625-646.
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  19. Javier Gardeazabal & Arantza Ugidos, 2005. "Gender wage discrimination at quantiles," Journal of Population Economics, Springer, vol. 18(1), pages 165-179, 07.
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