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On the ranking uncertainty of labor market wage gaps

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  • William C. Horrace

Abstract

Using a log-wage model, Horrace and Oaxaca (2001) propose estimators of the gender wage gap across industry classifications. One estimator involves the maximum over sample estimates of population parameters, and inference on this estimator follows with the implicit assumption that the sample maximum equals the population maximum. This paper proposes inference procedures for this estimator that relax this assumption. Specifically, multiple comparisons with the best methods are used to construct simultaneous confidence intervals for industry wage gaps. Using data on fourteen industry classifications, inference experiments indicate that differences in gender wage gaps across industries are insignificant at the 95% level. Copyright Springer-Verlag 2005

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jopoec:v:18:y:2005:i:1:p:181-187
    DOI: 10.1007/s00148-004-0186-1
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    Citations

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    Cited by:

    1. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    2. Chuang, Hwei-Lin & Lin, Eric S. & Chiu, Shih-Yung, 2018. "The gender wage gap in the financial industry: Evidence from the interindustry ranking," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 246-258.
    3. 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.
    4. William Horrace & Joseph Marchand & Timothy Smeeding, 2008. "Ranking inequality: Applications of multivariate subset selection," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 5-32, March.
    5. 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.
    6. Yun, Myeong-Su, 2006. "Revisiting Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," IZA Discussion Papers 2427, Institute of Labor Economics (IZA).
    7. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.
    8. 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.

    More about this item

    Keywords

    C12; J31; J71; Multiple comparisons; wage differential; discrimination;
    All these keywords.

    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

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