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Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach

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  • Myeong-Su Yun
  • Eric S. Lin

Abstract

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical variables. The proposed estimator measures the pure impact of industry on gender wage gaps after netting out wage differentials due to differences in characteristics and their coefficients between men and women. Furthermore, the proposed estimator is easy to implement, including hypothesis tests. We compare the proposed estimator with existing estimators using samples from 1998 Current Population Survey of US.
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Suggested Citation

  • Myeong-Su Yun & Eric S. Lin, 2015. "Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach," Pacific Economic Review, Wiley Blackwell, vol. 20(4), pages 569-587, October.
  • Handle: RePEc:bla:pacecr:v:20:y:2015:i:4:p:569-587
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    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. Ilan Tojerow & François Rycx, 2002. "Inter-industry wage differentials and the gender wage gap in Belgium," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 45(2), pages 119-141.
    3. Lin, Eric S., 2010. "Gender wage gaps by college major in Taiwan: Empirical evidence from the 1997-2003 Manpower Utilization Survey," Economics of Education Review, Elsevier, vol. 29(1), pages 156-164, February.
    4. Brenda Gannon & Robert Plasman & Francois Rycx & Ilan Tojerow, 2007. "Inter-Industry Wage Differentials and the Gender Wage Gap: Evidence from European Countries," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 135-155.
    5. repec:ulb:ulbeco:2013/138902 is not listed on IDEAS
    6. Helwege, Jean, 1992. "Sectoral Shifts and Interindustry Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 10(1), pages 55-84, January.
    7. Vera A. Adamchik & Arjun S. Bedi, 2003. "Gender pay differentials during the transition in Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(4), pages 697-726, December.
    8. Robert Gibbons & Lawrence Katz, 1992. "Does Unmeasured Ability Explain Inter-Industry Wage Differentials?," Review of Economic Studies, Oxford University Press, vol. 59(3), pages 515-535.
    9. Greene, William H & Seaks, Terry G, 1991. "The Restricted Least Squares Estimator: A Pedagogical Note," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 563-567, August.
    10. repec:ulb:ulbeco:2013/134392 is not listed on IDEAS
    11. William C. Horrace & Ronald L. Oaxaca, 2001. "Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," ILR Review, Cornell University, ILR School, vol. 54(3), pages 611-618, April.
    12. Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, March.
    13. Eric S. Lin, 2007. "On the standard errors of Oaxaca-type decompositions for inter-industry gender wage differentials," Economics Bulletin, AccessEcon, vol. 10(6), pages 1-11.
    14. Helena Skyt Nielsen, 2000. "Wage discrimination in Zambia: an extension of the Oaxaca-Blinder decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 405-408.
    15. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    16. Javier Gardeazabal & Arantza Ugidos, 2004. "More on Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1034-1036, November.
    17. 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.
    18. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 4.
    19. William C. Horrace, 2005. "On the ranking uncertainty of labor market wage gaps," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(1), pages 181-187, September.
    20. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 5.
    21. 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.
    22. Beyza Ural & William Horrace & Jin Hwa Jung, 2009. "Inter-industry gender wage gaps by knowledge intensity: discrimination and technology in Korea," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1437-1452.
    23. Judith Fields & Edward N. Wolff, 1995. "Interindustry Wage Differentials and the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 49(1), pages 105-120, October.
    24. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    25. 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.
    26. 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.
    27. 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.
    28. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    29. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
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    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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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