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The Gender Pay Gap by Occupation: A Test of the Crowding Hypothesis

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  • Eric J. Solberg

Abstract

Identified, structural wage equations for seven occupations are estimated to test the crowding hypothesis—that the gender pay gap is due to females being crowded into low‐paying occupations—using data drawn from the 1996 wave of the National Longitudinal Study of Youth (NLSY79). Occupational preferences are used to estimate a logit probability model of occupational assignment to create instruments to control for self‐selection. Wage equations are estimated for all workers and for full‐time, year‐round workers. Identical specifications are estimated for private‐sector workers. The results are not consistent with a crowding explanation as the sole source of the gender pay gap unless crowding occurs at less aggregated levels of occupations than those used for this study. (JEL J16, J31, J71)

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  • Eric J. Solberg, 2005. "The Gender Pay Gap by Occupation: A Test of the Crowding Hypothesis," Contemporary Economic Policy, Western Economic Association International, vol. 23(1), pages 129-148, January.
    • Handle: RePEc:bla:coecpo:v:23:y:2005:i:1:p:129-148
    DOI: 10.1093/cep/byi011
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Jacob Mincer & Solomon Polachek, 1974. "Family Investments in Human Capital: Earnings of Women," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 76-110, National Bureau of Economic Research, Inc.
    3. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    4. Conway, Delores A. & Roberts, Harry V., 1994. "Analysis of employment discrimination through homogeneous job groups," Journal of Econometrics, Elsevier, vol. 61(1), pages 103-131, March.
    5. 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.
    6. 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.
    7. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    8. Michael P. Kidd & Michael Shannon, 1996. "Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?," ILR Review, Cornell University, ILR School, vol. 49(2), pages 317-329, January.
    9. Gunderson, Morley, 1989. "Male-Female Wage Differentials and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 27(1), pages 46-72, March.
    10. James J. Heckman, 1976. "Introduction to "Annals of Economic and Social Measurement, Volume 5, number 4"," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, National Bureau of Economic Research, Inc.
    11. McKenzie, C R & McAleer, Michael, 1994. "On the Effects of Misspecification Errors in Models with Generated Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 441-455, November.
    12. Javed Ashraf, 1996. "Is Gender Pay Discrimination on the Wane? Evidence from Panel Data, 1968–1989," ILR Review, Cornell University, ILR School, vol. 49(3), pages 537-546, April.
    13. Neal, Derek A & Johnson, William R, 1996. "The Role of Premarket Factors in Black-White Wage Differences," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 869-895, October.
    14. Blau, Francine D & Ferber, Marianne A, 1987. "Discrimination: Empirical Evidence from the United States," American Economic Review, American Economic Association, vol. 77(2), pages 316-320, May.
    15. 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.
    16. Francine D. Blau, 1998. "Trends in the Well-Being of American Women, 1970-1995," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 112-165, March.
    17. Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
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    More about this item

    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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