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The Evolution of Gender Wage Differentials and Discrimination in Thailand: 1991-2007--An Application of Unconditional Quantile Regression

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  • Adireksombat, Kampon
  • Fang, Zheng
  • Sakellariou, Chris

Abstract

Using unconditional quantile regression combined with Oaxaca-Blinder decomposition, we study the gender wage differentials over the whole distribution in Thailand from 1991 to 2007. A V-shape pattern of the overall gender gap is observed in each year, most attributable to the wage structure effect (“discrimination”), and persistent sticky floors are documented. We also develop a “double decomposition” method to analyze the over-time changes in gender wage gaps, and find that the degree of gender inequality in the Thai labor market has improved compared to the 1990s, while relative changes in characteristics explained only very small part of the total changes.

Suggested Citation

  • Adireksombat, Kampon & Fang, Zheng & Sakellariou, Chris, 2010. "The Evolution of Gender Wage Differentials and Discrimination in Thailand: 1991-2007--An Application of Unconditional Quantile Regression," MPRA Paper 27516, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:27516
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    References listed on IDEAS

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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. Yekaterina Chzhen & Karen Mumford, "undated". "Gender Gaps Across the Earnings Distribution in Britain: Are Women Bossy Enough?," Discussion Papers 09/27, Department of Economics, University of York.
    3. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    4. Alan Manning & Joanna Swaffield, 2008. "The gender gap in early-career wage growth," Economic Journal, Royal Economic Society, vol. 118(530), pages 983-1024, July.
    5. 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.
    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. Alison L. Booth & Patrick Nolen, 2012. "Gender differences in risk behaviour: does nurture matter?," Economic Journal, Royal Economic Society, vol. 122(558), pages 56-78, February.
    8. Chris Sakellariou, 2004. "The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 1001-1007.
    9. Sara Rica & Juan Dolado & Vanesa Llorens, 2008. "Ceilings or floors? Gender wage gaps by education in Spain," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 751-776, July.
    10. Jennifer Hunt, 2002. "The Transition in East Germany: When Is a Ten-Point Fall in the Gender Wage Gap Bad News?," Journal of Labor Economics, University of Chicago Press, vol. 20(1), pages 148-169, January.
    11. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1067-1101.
    12. Hiau Joo Kee, 2006. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap," The Economic Record, The Economic Society of Australia, vol. 82(259), pages 408-427, December.
    13. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    14. Nicole M. Fortin & Thomas Lemieux, 1998. "Rank Regressions, Wage Distributions, and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 33(3), pages 610-643.
    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. 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.
    17. 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.
    18. Chris Sakellariou, 2004. "Gender-Earnings Differentials Using Quantile Regressions," Journal of Labor Research, Transaction Publishers, vol. 25(3), pages 458-468, July.
    19. Kristin Mammen & Christina Paxson, 2000. "Women's Work and Economic Development," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 141-164, Fall.
    20. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    21. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    22. Ganguli, Ina & Terrell, Katherine, 2005. "Wage Ceilings and Floors: The Gender Gap in Ukraine's Transition," IZA Discussion Papers 1776, Institute for the Study of Labor (IZA).
    23. Eckel, Catherine C. & Grossman, Philip J., 2003. "Rebate versus matching: does how we subsidize charitable contributions matter?," Journal of Public Economics, Elsevier, vol. 87(3-4), pages 681-701, March.
    24. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    25. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    26. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    27. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
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    Keywords

    Southeast Asia; Thailand; unconditional quantile regression; sticky floors; discrimination;

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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