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“Gold Miss†or “Earthy Mom†? Evidence from Thailand

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  • Sasiwimon Warunsiri Paweenawat
  • Lusi Liao

Abstract

This paper investigates the impact of Thai women's education on their marriage behavior and fertility. It first uses the data set from the Labor Force Survey to estimate the effect of education on the marriage market. The result from applying the recent doubly robust Inverse Probability Weighted Regression Adjustment (IPWRA) indicates that obtaining a university degree decreases the probability of women's marriage by 14.8%, emphasizing the rise of the “Gold Miss†phenomenon in Thailand. It further examines the effect of education on fertility. By applying both the instrumental variable using the compulsory education reform as an instrument and pseudo-panel approaches to take into account the endogeneity of schooling, the result shows that education causally reduces fertility, which provides a convincing sequential explanation for the dramatic decline in fertility in Thailand.

Suggested Citation

  • Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
    • Handle: RePEc:pui:dpaper:110
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    References listed on IDEAS

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    1. Paweenawat, Sasiwimon Warunsiri & Liao, Lusi, 2022. "Parenthood penalty and gender wage gap: Recent evidence from Thailand," Journal of Asian Economics, Elsevier, vol. 78(C).
    2. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    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. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
    5. Ansley Coale, 1992. "Age of entry into marriage and the date of the initiation of voluntary birth control," Demography, Springer;Population Association of America (PAA), vol. 29(3), pages 333-341, August.
    6. 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.
    7. Banks, James & Blundell, Richard & Preston, Ian, 1994. "Life-cycle expenditure allocations and the consumption costs of children," European Economic Review, Elsevier, vol. 38(7), pages 1391-1410, August.
    8. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    9. David Lam & Suzanne Duryea, 1999. "Effects of Schooling on Fertility, Labor Supply, and Investments in Children, with Evidence from Brazil," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 160-192.
    10. Hawley, Joshua D., 2004. "Changing returns to education in times of prosperity and crisis, Thailand 1985-1998," Economics of Education Review, Elsevier, vol. 23(3), pages 273-286, June.
    11. 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.
    12. George B. Roberts, Chairman, Universities-National Bureau Committee for Economic Research, 1960. "Demographic and Economic Change in Developed Countries," NBER Books, National Bureau of Economic Research, Inc, number univ60-2, December.
    13. Sasiwimon Warunsiri PAWEENAWAT & Lusi LIAO, 2023. "Educational assortative mating and income inequality in Thailand," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 89(2), pages 283-298, June.
    14. Rosenzweig, Mark R & Schultz, T Paul, 1989. "Schooling, Information and Nonmarket Productivity: Contraceptive Use and Its Effectiveness," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 457-477, May.
    15. Cygan-Rehm, Kamila & Maeder, Miriam, 2013. "The effect of education on fertility: Evidence from a compulsory schooling reform," Labour Economics, Elsevier, vol. 25(C), pages 35-48.
    16. 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.
    17. Gary S. Becker, 1960. "An Economic Analysis of Fertility," NBER Chapters, in: Demographic and Economic Change in Developed Countries, pages 209-240, National Bureau of Economic Research, Inc.
    18. Dargay, Joyce, 2007. "The effect of prices and income on car travel in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 949-960, December.
    19. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    20. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, December.
    21. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    22. 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.
    23. Jennie Brand & Dwight Davis, 2011. "The Impact of College Education on Fertility: Evidence for Heterogeneous Effects," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 863-887, August.
    24. Margherita Fort & Nicole Schneeweis & Rudolf Winter‐Ebmer, 2016. "Is Education Always Reducing Fertility? Evidence from Compulsory Schooling Reforms," Economic Journal, Royal Economic Society, vol. 126(595), pages 1823-1855, September.
    25. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    26. Janet Currie & Enrico Moretti, 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1495-1532.
    27. Karin Monstad & Carol Propper & Kjell G. Salvanes, 2008. "Education and Fertility: Evidence from a Natural Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 827-852, December.
    28. 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.
    29. Kamhon Kan & Myoung‐Jae Lee, 2018. "The Effects Of Education On Fertility: Evidence From Taiwan," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 343-357, January.
    30. Duncan Thomas & John Strauss & Maria-Helena Henriques, 1991. "How Does Mother's Education Affect Child Height?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 183-211.
    31. Vegard Skirbekk, 2008. "Fertility trends by social status," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 18(5), pages 145-180.
    32. Schultz, T. Paul, 1988. "Education investments and returns," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 13, pages 543-630, Elsevier.
    33. 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. Lusi Liao & Sasiwimon W. Paweenawat, 2020. "A Glass Ceiling? Gender Inequality of Top Earners in Thailand," Economics Bulletin, AccessEcon, vol. 40(1), pages 500-515.

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    More about this item

    Keywords

    Gold Miss; Marriage; Fertility; Education; Instrumental Variable; Pseudo-panel;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D19 - Microeconomics - - Household Behavior - - - Other
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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