Image credit: © 2020 Chao et al.

Probabilistic Projection of the Sex Ratio at Birth and Missing Female Births by State and Union Territory in India

Image credit: © 2020 Chao et al.

Probabilistic Projection of the Sex Ratio at Birth and Missing Female Births by State and Union Territory in India

Abstract

The sex ratio at birth (SRB) in India has been reported imbalanced since the 1970s. Previous studies have shown a great variation in the SRB across geographic locations in India till 2016. As one of the most populous countries and in view of its great regional heterogeneity, it is crucial to produce probabilistic projections for the SRB in India at state level for the purpose of population projection and policy planning. In this paper, we implement a Bayesian hierarchical time series model to project SRB in India by state. We generate SRB probabilistic projections from 2017 to 2030 for 29 States and Union Territories (UTs) in India, and present results in 21 States/UTs with data from the Sample Registration System. We project that the largest contribution to female births deficits is in Uttar Pradesh, with cumulative number of missing female births projected to be 2.0 (95% credible interval (1.9; 2.2)) million from 2017 to 2030. The total female birth deficits during 2017–2030 for the whole India is projected to be 6.8 (6.6; 7.0) million.

Publication
arXiv preprint arXiv:2004.02228

This preprint is under review.

Avatar
Fengqing Chao
Postdoctoral Fellow

My research interests include statistical demography, global health, Bayesian modeling, and time series analysis.

Next
Previous