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Is there a wage penalty for occupational feminization? Evidence from Thai labor market

Author

Listed:
  • Lusi Liao

    (University of the Thai Chamber of Commerce)

  • Sasiwimon W Paweenawat

    (University of the Thai Chamber of Commerce)

Abstract

This paper studies how occupational feminization affects wages in the context of a developing country with high female labour force participation. Using the Labour Force Survey of Thailand from 1985 to 2017, we employ a pseudo panel approach considering the unobserved heterogeneity across individuals. The results indicate that the effect of occupational feminization on wages varies by gender and there is a growing wage penalty related to occupational feminization.

Suggested Citation

  • Lusi Liao & Sasiwimon W Paweenawat, 2020. "Is there a wage penalty for occupational feminization? Evidence from Thai labor market," Economics Bulletin, AccessEcon, vol. 40(3), pages 2143-2153.
    • Handle: RePEc:ebl:ecbull:eb-19-00979
    as

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    References listed on IDEAS

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    1. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    3. Sasiwimon Warunsiri Paweenawat & Robert McNown, 2018. "A synthetic cohort analysis of female labour supply: the case of Thailand," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 527-544, January.
    4. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    5. Rendall, Michelle, 2013. "Structural Change in Developing Countries: Has it Decreased Gender Inequality?," World Development, Elsevier, vol. 45(C), pages 1-16.
    6. Warunsiri, Sasiwimon & McNown, Robert, 2010. "The Returns to Education in Thailand: A Pseudo-Panel Approach," World Development, Elsevier, vol. 38(11), pages 1616-1625, November.
    7. Judith Fields & Edward N. Wolff, 1991. "The Decline of Sex Segregation and the Wage Gap, 1970-80," Journal of Human Resources, University of Wisconsin Press, vol. 26(4), pages 608-622.
    8. Propper, Carol & Rees, Hedley & Green, Katherine, 2001. "The Demand for Private Medical Insurance in the UK: A Cohort Analysis," Economic Journal, Royal Economic Society, vol. 111(471), pages 180-200, May.
    9. Nakavachara, Voraprapa, 2010. "Superior female education: Explaining the gender earnings gap trend in Thailand," Journal of Asian Economics, Elsevier, vol. 21(2), pages 198-218, April.
    10. John Pencavel, 1998. "The Market Work Behavior and Wages of Women: 1975-94," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 771-804.
    11. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    12. Macpherson, David A & Hirsch, Barry T, 1995. "Wages and Gender Composition: Why Do Women's Jobs Pay Less?," Journal of Labor Economics, University of Chicago Press, vol. 13(3), pages 426-471, July.
    13. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
    14. Hadas Mandel, 2018. "A Second Look at the Process of Occupational Feminization and Pay Reduction in Occupations," Demography, Springer;Population Association of America (PAA), vol. 55(2), pages 669-690, April.
    15. Cameron, Lisa A & Dowling, J Malcolm & Worswick, Christopher, 2001. "Education and Labor Market Participation of Women in Asia: Evidence from Five Countries," Economic Development and Cultural Change, University of Chicago Press, vol. 49(3), pages 461-477, April.
    16. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
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    Cited by:

    1. repec:ocp:rpecon:rp-21-03 is not listed on IDEAS
    2. Mina Baliamoune, 2021. "Trade, Infrastructure, and Female Participation in Labor Markets," Research papers & Policy papers on Economic Trends and Policies 2113, Policy Center for the New South.
    3. repec:ocp:rptrad:rp-21-03 is not listed on IDEAS

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    More about this item

    Keywords

    Occupational feminization; Gender segregation; Pseudo Panel; Fixed effect; Thailand;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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