Levels and trends in the sex ratio at birth in seven provinces of Nepal between 1980 and 2016 with probabilistic projections to 2050: a Bayesian modeling approach
Fengqing Chao, Samir KC, Hernando Ombao

TL;DR
This study models and projects the sex ratio at birth across Nepal's provinces from 1980 to 2050 using Bayesian methods, revealing regional disparities and potential future imbalances.
Contribution
It provides the first probabilistic subnational projections of SRB in Nepal, highlighting regional differences and the timing of potential imbalances.
Findings
Province 5 has the highest SRB in 2016 at 1.102
Province 2 has the lowest SRB at 1.053 in 2016
SRB imbalances may begin to converge to the national baseline by the mid-2030s
Abstract
The sex ratio at birth (SRB; ratio of male to female births) in Nepal has been reported without imbalance on the national level. However, the national SRB could mask the disparity within the country. Given the demographic and cultural heterogeneities in Nepal, it is crucial to model Nepal SRB on the subnational level. Prior studies on subnational SRB in Nepal are mostly based on reporting observed values from surveys and census, and no study has provided probabilistic projections. We aim to estimate and project SRB for the seven provinces of Nepal from 1980 to 2050 using a Bayesian modeling approach. We compiled an extensive database on provincial SRB of Nepal, consisting 2001, 2006, 2011, and 2016 Nepal Demographic and Health Surveys and 2011 Census. We adopted a Bayesian hierarchical time series model to estimate and project the provincial SRB, with a focus on modelling the potential…
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Taxonomy
TopicsDemographic Trends and Gender Preferences · Global Maternal and Child Health · Migration and Labor Dynamics
