IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-19-00979.html
   My bibliography  Save this article

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

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I3-P187.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    2. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    3. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    4. Rendall, Michelle, 2013. "Structural Change in Developing Countries: Has it Decreased Gender Inequality?," World Development, Elsevier, vol. 45(C), pages 1-16.
    5. 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.
    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. 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.
    8. 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.
    9. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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, July-Dece.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2021. "The inversion of married women's labour supply and wage: Evidence from Thailand," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 82-98, May.
    2. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    3. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
    4. Sarah Bridges & Simona Mateut, 2009. "Attitudes towards immigration in Europe," Working Papers 2009008, The University of Sheffield, Department of Economics, revised May 2009.
    5. 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.
    6. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2018. "Labour Supply of Married Women in Thailand: 1985–2016," PIER Discussion Papers 88, Puey Ungphakorn Institute for Economic Research.
    7. d'Errico, Marco & Letta, Marco & Montalbano, Pierluigi & Pietrelli, Rebecca, 2019. "Resilience Thresholds to Temperature Anomalies: A Long-run Test for Rural Tanzania," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    8. Paul J. Devereux, 2007. "Small-sample bias in synthetic cohort models of labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
    9. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    10. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    11. Sarah Bridges & Simona Mateut, 2014. "Should They Stay or Should They Go? Attitudes Towards Immigration in Europe," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 397-429, September.
    12. Lederman, Daniel & Rojas, Diego, 2014. "Export shocks and the volatility of returns to schooling : evidence from twelve Latin American economies," Policy Research Working Paper Series 7144, The World Bank.
    13. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.
    14. Marco d'Errico & Marco Letta & Pierluigi Montalbano & Rebecca Pietrelli, 2018. "Resilience thresholds to temperature shocks in rural Tanzania: a long-run assessment," Working Papers 2/18, Sapienza University of Rome, DISS.
    15. D. Lederman & W.F. Maloney & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Publications - Reports 23575, The World Bank Group.
    16. Rosati, Nicoletta, 2013. "Efficiency of repeated-cross-section estimators in fixed-effects models," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1770-1775.
    17. Koksal, Aycan & Wohlgenant, Michael, 2013. "Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150457, Agricultural and Applied Economics Association.
    18. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-19-00979. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.