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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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    4. Maryam Jamielaa, 2018. "Trade openness and female-male earnings differentials: Evidence from Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(1), pages 82-92, April.

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    More about this item

    Keywords

    Southeast Asia; Thailand; unconditional quantile regression; sticky floors; discrimination;
    All these keywords.

    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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