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A Meta-Analysis of the International Gender Wage Gap

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Listed author(s):
  • Doris Weichselbaumer
  • Rudolf Winter-Ebmer

Abstract

Since the early 1970s, a number of authors have calculated gender wage differentials between women and men of equal productivity. This meta-study provides a new quantitative review of this vast amount of empirical literature on gender wage differentials as it concerns not only differences in methodology, data, and time periods, but also different countries. We place particular emphasis on a proper consideration of the quality of the underlying study which is done by a weighting with quality indicators. The results show that data restrictions - i.e. the limitation of the analysis to new entrants, never-marrieds, or one narrow occupation only - have the biggest impact on the resulting gender wage gap. Moreover, we are able to show what effect a misspecification of the underlying wage equation - like the frequent use of potential experience - has on the calculated gender wage gap. Over time, raw wage differentials worldwide have fallen substantially; however, most of this decrease is due to better labor market endowments of females. Copyright Blackwell Publishers Ltd, 2005.

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Article provided by Wiley Blackwell in its journal Journal of Economic Surveys.

Volume (Year): 19 (2005)
Issue (Month): 3 (07)
Pages: 479-511

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Handle: RePEc:bla:jecsur:v:19:y:2005:i:3:p:479-511
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Find related papers by JEL classification:
  • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
  • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
  • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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  1. Weichselbaumer, Doris & Winter-Ebmer, Rudolf, 2003. "The Effects of Competition and Equal Treatment Laws on the Gender Wage Differential," IZA Discussion Papers 822, Institute for the Study of Labor (IZA).
  2. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta-Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, 07.
  3. Jacques Silber & Michal Weber, 1999. "Labour market discrimination: are there significant differences between the various decomposition procedures?," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 359-365.
  4. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
  5. Weichselbaumer, Doris & Winter-Ebmer, Rudolf, 2003. "Rhetoric in Economic Research: The Case of Gender Wage Differentials," CEPR Discussion Papers 4128, C.E.P.R. Discussion Papers.
  6. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259 Elsevier.
  7. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
  8. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
  9. Francine D. Blau & Lawrence M. Kahn, 2003. "Understanding International Differences in the Gender Pay Gap," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 106-144, January.
  10. Blau, Francine D & Kahn, Lawrence M, 1996. "Wage Structure and Gender Earnings Differentials: An International Comparison," Economica, London School of Economics and Political Science, vol. 63(250), pages 29-62, Suppl..
  11. Chris Doucouliagos, 1995. "Worker Participation and Productivity in Labor-Managed and Participatory Capitalist Firms: A Meta-Analysis," ILR Review, Cornell University, ILR School, vol. 49(1), pages 58-77, October.
  12. Randall S. Brown & Marilyn Moon & Barbara S. Zoloth, 1980. "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources, University of Wisconsin Press, vol. 15(1), pages 3-28.
  13. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
  14. Doucouliagos, Chris, 1997. "The Aggregate Demand for Labour in Australia: A Meta-analysis," Australian Economic Papers, Wiley Blackwell, vol. 36(69), pages 224-242, December.
  15. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  16. David H. Greenberg & Charles Michalopoulos & Philip K. Robins, 2003. "A Meta-Analysis of Government-Sponsored Training Programs," ILR Review, Cornell University, ILR School, vol. 57(1), pages 31-53, October.
  17. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
  18. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
  19. Gorg, Holger & Strobl, Eric, 2001. "Multinational Companies and Productivity Spillovers: A Meta-analysis," Economic Journal, Royal Economic Society, vol. 111(475), pages 723-739, November.
  20. Orley Ashenfelter & Timothy Hannan, 1986. "Sex Discrimination and Product Market Competition: The Case of the Banking Industry," The Quarterly Journal of Economics, Oxford University Press, vol. 101(1), pages 149-173.
  21. 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 533-538, May.
  22. Sandra E. Black & Elizabeth Brainerd, 1999. "Importing equality? The effects of increased competition on the gender wage gap," Staff Reports 74, Federal Reserve Bank of New York.
  23. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
  24. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
  25. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
  26. T.D. Stanley & Stephen B. Jarrell, 1998. "Gender Wage Discrimination Bias? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 947-973.
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