Web Appendix Projecting sex imbalances at birth at global, regional, and national levels from 2018 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births

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This web appendix is for Projecting sex imbalances at birth at global, regional, and national levels from 2018 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births.

Fengqing Chao
Fengqing Chao
Assistant Professor of Computational Social Science

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