We implemented Bayesian methods for probabilistic sex ratio at birth (SRB) estimation and projection for all countries based on an extensive database with data from vital registration systems, censuses, and surveys. We identified countries at risk of SRB inflation due to sex-selective abortion in the past/current/future. We modeled SRB regional biological norms, fluctuation around regional norms, and SRB inflation. For countries at risk of SRB inflation without empirical evidence of past inflation, projections with and without future inflation were constructed. We found that the past/ongoing SRB inflation occurred mostly in Southern Asia and Eastern Asia, resulting in 9.3 (95% uncertainty interval [5.7; 13.7]) and 11.2 [7.2; 15.7] million missing female births during 1970–2015. Under the scenario that all countries at risk of SRB inflation will experience inflation, the estimated number of missing female births globally between 2016–2100 is 8.8 [6.5; 12.7] million, with 94.2% in Sub-Saharan Africa.
I gave an oral presentation for this conference paper on Apr 26th, 2018, in the 2018 Population Association of America Annual Meeting, Denver, CO, USA.
Please cite the linked slides as:
Chao, Fengqing, Patrick Gerland, Alex R. Cook, and Leontine Alkema. 2018. “A Systematic Assessment of National, Regional, and Global Levels and Trends in the Sex Ratio at Birth and Scenario-based Projections (slide for PAA 2018)". figshare. doi: 10.6084/m9.figshare.12403532.