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The gender wage gap in the financial industry: Evidence from the interindustry ranking

Author

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  • Chuang, Hwei-Lin
  • Lin, Eric S.
  • Chiu, Shih-Yung

Abstract

This study examines the interindustry gender wage gap in Taiwan with a focus on the financial industry, using individual level data from the 1978–2013 Manpower Utilization Survey. We consider this issue from two perspectives. First, by decomposing, examining, and breaking down the overall gender wage gap, we find that 2–14% of the overall gender wage gap during this period can be attributed to workers’ industry affiliation. Second, through the analysis of the gender wage gap across industries in Taiwan, we notice that the financial industry is the most monetarily advantageous industry for women during the past 15 years based on the interindustry ranking approach. The wage level for women in the financial industry was only 3–20% below that of men, compared to 15–93% for women in the mining industry. A cross country comparison with the results from the literature suggests that the range of the interindustry gender wage gap in Taiwan is larger than that in the U.S. The financial industry is more likely to rank the highest (with a smaller gender wage gap) in Taiwan, while ranking the lowest in the U.S. labor market.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reveco:v:55:y:2018:i:c:p:246-258
    DOI: 10.1016/j.iref.2017.07.016
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    1. 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.
    2. 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.
    3. Mincer, Jacob & Polachek, Solomon, 1974. "Family Investment in Human Capital: Earnings of Women," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 76-108, Part II, .
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Marianne A. Ferber & Carole A. Green, 1982. "Traditional or Reverse Sex Discrimination? A Case Study of a Large Public University," ILR Review, Cornell University, ILR School, vol. 35(4), pages 550-564, July.
    10. 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.
    11. 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.
    12. Joseph E. Zveglich Jr. & Yana van der Meulen Rodgers & William M. Rodgers III, 1997. "The Persistence of Gender Earnings Inequality in Taiwan, 1978–1992," ILR Review, Cornell University, ILR School, vol. 50(4), pages 594-609, July.
    13. 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.
    14. 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.
    15. repec:ulb:ulbeco:2013/138902 is not listed on IDEAS
    16. Kao, Charng & Polachek, Solomon W & Wunnava, Phanindra V, 1994. "Male-Female Wage Differentials in Taiwan: A Human Capital Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 42(2), pages 351-374, January.
    17. 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.
    18. Tao, Yu-Li & Chuang, Hwei-Lin & Lin, Eric S., 2016. "Compensation and performance in Major League Baseball: Evidence from salary dispersion and team performance," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 151-159.
    19. 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.
    20. 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.
    21. Gannicott, Kenneth, 1986. "Women, Wages, and Discrimination: Some Evidence from Taiwan," Economic Development and Cultural Change, University of Chicago Press, vol. 34(4), pages 721-730, July.
    22. 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.
    23. repec:ulb:ulbeco:2013/134392 is not listed on IDEAS
    24. 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.
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    More about this item

    Keywords

    Gender wage gap; Financial industry; Manpower utilization survey; Interindustry ranking;
    All these keywords.

    JEL classification:

    • 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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