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How wide is the gap? An investigation of gender wage differences using quantile regression

In this paper we examine the determinants of wages and decompose the observed differences across genders into the "explained by different characteristics" and "explained by different returns components" using a sample of Spanish workers. Apart from the conditional expectation of wages, we estimate the conditional quantile functions for men and women and find that both the absolute wage gap and the part attributed to different returns at each of the quantiles, far from being well represented by their counterparts at the mean, are greater as we move up in the wage range.

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Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 287.

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Date of creation: May 1998
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Handle: RePEc:upf:upfgen:287
Contact details of provider: Web page: http://www.econ.upf.edu/

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  1. David Neumark, 1987. "Employers' discriminatory behavior and the estimation of wage discrimination," Special Studies Papers 227, Board of Governors of the Federal Reserve System (U.S.).
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  6. David Neumark & Sanders Korenman, 1992. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data," NBER Working Papers 4019, National Bureau of Economic Research, Inc.
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  8. James M. Poterba & Kim S. Rueben, 1994. "The Distribution of Public Sector Wage Premia: New Evidence Using Quantile Regression Methods," NBER Working Papers 4734, National Bureau of Economic Research, Inc.
  9. 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.
  10. Kevin F. Hallock & Wallace Hendricks & Emer Broadbent, 1998. "Discrimination by Gender and Disability Status: Do Worker Perceptions Match Statistical Measures?," Southern Economic Journal, Southern Economic Association, vol. 65(2), pages 245-263, October.
  11. Mueller, Richard E., 1998. "Public-private sector wage differentials in Canada: evidence from quantile regressions," Economics Letters, Elsevier, vol. 60(2), pages 229-235, August.
  12. Moon-Kak Kim & Solomon W. Polachek, 1994. "Panel Estimates of Male-Female Earnings Functions," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 406-428.
  13. Kuhn, Peter J, 1987. "Sex Discrimination in Labor Markets: The Role of Statistical Evidenc e," American Economic Review, American Economic Association, vol. 77(4), pages 567-83, September.
  14. Wright, Robert E & Ermisch, John F, 1991. "Gender Discrimination in the British Labour Market: A Reassessment," Economic Journal, Royal Economic Society, vol. 101(406), pages 508-22, May.
  15. Even, William E, 1990. "Sex Discrimination in Labor Markets: The Role of Statistical Evidence: Comment," American Economic Review, American Economic Association, vol. 80(1), pages 287-89, March.
  16. Alba-Ramirez, Alfonso & San Segundo, Maria Jesus, 1995. "The returns to education in Spain," Economics of Education Review, Elsevier, vol. 14(2), pages 155-166, June.
  17. Colm Harmon & Ian Walker, 1996. "The Marginal and Average Returns to Schooling"," Working Papers 96/20, University College Dublin, Economics Department.
  18. Sara de la Rica & Arantza Ugidos, 1995. "¿Son las diferencias en capital humano determinantes en las diferencias salariales observadas entre hombres y mujeres?," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 395-414, September.
  19. Amemiya, Takeshi, 1982. "Two Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 50(3), pages 689-711, May.
  20. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
  21. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  22. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
  23. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-86, December.
  24. Blau, Francine D & Kahn, Lawrence M, 1992. "The Gender Earnings Gap: Learning from International Comparisons," American Economic Review, American Economic Association, vol. 82(2), pages 533-38, May.
  25. Callan, Tim & Wren, Anne, 1994. "Male-Female Wage Differentials: Analysis and Policy Issues," Research Series, Economic and Social Research Institute (ESRI), number GRS163.
  26. 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.
  27. Kuhn, Peter J, 1990. "Sex Discrimination in Labor Markets: The Role of Statistical Evidence: Reply," American Economic Review, American Economic Association, vol. 80(1), pages 290-97, March.
  28. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-85, May.
  29. Butcher, Kristin F & Case, Anne, 1994. "The Effect of Sibling Sex Composition on Women's Education and Earnings," The Quarterly Journal of Economics, MIT Press, vol. 109(3), pages 531-63, August.
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