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- Title
Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh.
- Authors
Tomal, Jabed H.; Khan, Jahidur Rahman; Wahed, Abdus S.
- Abstract
Number of children ever born to women of reproductive age forms a core component of fertility and is vital to the population dynamics in any country. Using Bangladesh Multiple Indicator Cluster Survey 2019 data, we fitted a novel weighted Bayesian Poisson regression model to identify multi-level individual, household, regional and societal factors of the number of children ever born among married women of reproductive age in Bangladesh. We explored the robustness of our results using multiple prior distributions, and presented the Metropolis algorithm for posterior realizations. The method is compared with regular Bayesian Poisson regression model using a Weighted Bayesian Information Criterion. Factors identified emphasize the need to revisit and strengthen the existing fertility-reduction programs and policies in Bangladesh.
- Subjects
BANGLADESH; BAYESIAN analysis; HUMAN fertility statistics; AKAIKE information criterion; POPULATION dynamics; WOMEN'S education
- Publication
Journal of Statistical Theory & Applications, 2022, Vol 21, Issue 3, p79
- ISSN
1538-7887
- Publication type
Article
- DOI
10.1007/s44199-022-00044-2