The slides were presented on Mar 16th, 2021, in the 2021 ENAR Spring Meeting (virtual meeting), Session 56 Time Series Modeling.
The slides are for preprint Sex ratio at birth in Vietnam among six subnational regions during 1990-2050, estimation and probabilistic projection using a Bayesian hierarchical time series model.
This web appendix is for Sex ratio at birth in Vietnam among six subnational regions during 1990-2050, estimation and probabilistic projection using a Bayesian hierarchical time series model.
The sex ratio at birth (SRB, i.e., the ratio of male to female births) in Vietnam has been imbalanced since the 2000s. Previous studies have revealed a rapid increase in the SRB over the past 15 years and the presence of important variations across …
Skewed levels of the sex ratio at birth (SRB) due to sex-selective abortions have been observed in several countries since the 1970s. They will lead to long-term sex imbalances in more than a third of the world's population with yet unknown social …
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.
It is crucial to monitor demographic and global health indicators accurately in order to optimize resource allocation. This is especially so in developing countries where the improvement of these health indicators is most needed. However, estimating …
The sex ratio at birth (SRB) in India has been reported to be imbalanced since the 1970s. Previous studies have shown there is a great variation in the SRB between geographic locations across India till 2016. Considering the enormous population and …
We describe a method for probabilistic scenario-based projection of the sex ratio at birth (SRB; ratio of male to female live births) for all countries, with a focus on SRB imbalance due to sex-selective abortion till 2100.
We aim to estimate sex ratio at birth (SRB) for the seven provinces of Nepal from 1980 to 2016, and to compute probabilistic projections for provincial SRB through 2050. We use a Bayesian hierarchical time series model based on the 2001, 2006, 2011, …