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On the estimation of female births missing due to prenatal sex selection

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  • Christophe Z. Guilmoto
  • Fengqing Chao
  • Purushottam M. Kulkarni

Abstract

This research note is prompted by a paper by Kashyap (Is prenatal sex selection associated with lower female child mortality? Population Studies 73(1): 57–78). Kashyap’s paper, which provides 40 original estimates of missing female births, relies on an alternative definition of missing female births, leading to estimates of about half the magnitude of other estimates. There appears, therefore, a real need to take stock of the concept of missing female births widely used by statisticians around the world for assessing the demographic consequences of prenatal sex selection. This research note starts with a brief review of the history of the concept and the difference between Amartya Sen’s original method and the alternative method found elsewhere to compute missing female births. We then put forward three different arguments (deterministic and probabilistic approaches, and consistency analysis) in support of the original computation procedure based on the number of observed male births and the expected sex ratio at birth.

Suggested Citation

  • Christophe Z. Guilmoto & Fengqing Chao & Purushottam M. Kulkarni, 2020. "On the estimation of female births missing due to prenatal sex selection," Population Studies, Taylor & Francis Journals, vol. 74(2), pages 283-289, June.
    • Handle: RePEc:taf:rpstxx:v:74:y:2020:i:2:p:283-289
    DOI: 10.1080/00324728.2020.1762912
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    Cited by:

    1. Aradhana Kumari & Srinivas Goli, 2022. "Skewed child sex ratios in India: a revisit to geographical patterns and socio-economic correlates," Journal of Population Research, Springer, vol. 39(1), pages 45-72, March.
    2. Fengqing Chao & Christophe Z Guilmoto & Samir K. C. & Hernando Ombao, 2020. "Probabilistic projection of the sex ratio at birth and missing female births by State and Union Territory in India," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    3. Chao, Fengqing & Wazir, Muhammad Asif & Ombao, Hernando, 2021. "Levels and trends in sex ratio at birth in provinces of Pakistan from 1980 to 2020 with scenario-based missing female birth projections to 2050: a Bayesian modeling approach," SocArXiv 5n3y8, Center for Open Science.
    4. Kumari, Aradhana & Goli, Srinivas, 2021. "Skewed Child Sex Ratios in India: A Revisit to Geographical Patterns and Socio-economic correlates," SocArXiv vhy86, Center for Open Science.

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