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Prenatal Sex Selection and Girls' Well-Being: Evidence from India

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  • Hu, Luojia

    (Federal Reserve Bank of Chicago)

  • Schlosser, Analia

    (Tel Aviv University)

Abstract

In this paper, we study the impact of prenatal sex selection on the well-being of girls by analyzing changes in children's nutritional status and mortality during the years since the diffusion of prenatal sex determination technologies in India. We further examine various channels through which prenatal sex selection might affect girls’ outcomes. Using repeated cross-sections from a rich survey dataset, we show that high sex ratios at birth reflect the practice of sex selective abortion. We then exploit the large regional and time variations in the incidence of prenatal sex selection to analyze whether changes in girls' outcomes relative to boys within states and over time are associated with changes in sex ratios at birth. We find that an increase in the practice of prenatal sex selection appears to be associated with a reduction in the incidence of malnutrition among girls. The negative association is stronger for girls born in rural households and at higher birth parities. An examination of the various mechanisms linking between prenatal sex selection and children outcomes suggests that prenatal sex selection does not lead to a selection of girls into better endowed families, but there is some evidence of a larger reduction in family size for girls relative to boys. We also find an increase in girls' breastfeeding duration suggesting an improvement in parental care and treatment. On the other hand, prenatal sex selection does not appear to be associated with a reduction in excess female child mortality, or a reduction in son preference.

Suggested Citation

  • Hu, Luojia & Schlosser, Analia, 2011. "Prenatal Sex Selection and Girls' Well-Being: Evidence from India," IZA Discussion Papers 5562, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5562
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    6. Hazan, Moshe & Zoabi, Hosny, 2009. "Sons or Daughters? Endogenous Sex Preferences and the Reversal of the Gender Educational Gap," Foerder Institute for Economic Research Working Papers 275728, Tel-Aviv University > Foerder Institute for Economic Research.
    7. Hazan, Moshe & Zoabi, Hosny, 2015. "Sons Or Daughters? Sex Preferences And The Reversal Of The Gender Educational Gap," Journal of Demographic Economics, Cambridge University Press, vol. 81(2), pages 179-201, June.
    8. Friedman-Sokuler, Naomi & Justman, Moshe, 2020. "Gender, culture and STEM: Counter-intuitive patterns in Arab society," Economics of Education Review, Elsevier, vol. 74(C).
    9. Tafesse, W.;, 2018. "The effect of mandatory iodine fortification on cognitive test scores in rural India," Health, Econometrics and Data Group (HEDG) Working Papers 18/10, HEDG, c/o Department of Economics, University of York.
    10. Daniel Rosenblum, 2013. "The effect of fertility decisions on excess female mortality in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 147-180, January.
    11. Milazzo, Annamaria, 2018. "Why are adult women missing? Son preference and maternal survival in India," Journal of Development Economics, Elsevier, vol. 134(C), pages 467-484.
    12. Shen, Menghan & Li, Linyan, 2020. "Differences in Cesarean section rates by fetal sex among Chinese women in the United States: Does Chinese culture play a role?," Economics & Human Biology, Elsevier, vol. 36(C).
    13. Prashant Bharadwaj & Leah K. Lakdawala, 2013. "Discrimination Begins in the Womb: Evidence of Sex-Selective Prenatal Investments," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 71-113.
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    15. Chew, Soo Hong & Yi, Junjian & Zhang, Junsen & Zhong, Songfa, 2017. "Risk Aversion and Son Preference: Experimental Evidence from Chinese Twin Parents," IZA Discussion Papers 10519, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    gender discrimination; sex ratio at birth; ultrasound; prenatal sex selection; son preference; child health;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I1 - Health, Education, and Welfare - - Health
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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