A Systematic Assessment of National, and Regional Under-Five Mortality Rate by Wealth Quintiles and Identification of Countries with Outlying Levels Using a Bayesian Hierarchical Time Series Model

Abstract

National-level estimates of the under-five mortality rate (U5MR) may mask disparities at the subnational level. We developed a Bayesian hierarchical time series model to assess disparities in the U5MR by household-level socioeconomic status (measured through wealth quintiles). In the model, country-specific ratios of wealth-quintile-specific U5MRs are modelled as the product of an expected ratio and a country-specific deviation from that expected ratio. We obtained quintile-specific estimates for 96 countries from 1990 (or the earliest year of data collection) to 2015 and pinpointed countries with unusually large or small disparities. We find that important differences exist between children from the poorest and richest households with respect to survival up to age five.

Publication
In Population Association of America Annual Meeting

I gave a poster presentation for this conference paper on Apr 27th, 2017, in the 2017 Population Association of America Annual Meeting, Chicago, IL, USA.

Please cite the linked poster as:

Chao, Fengqing, Danzhen You, Jon Pedersen, Lucia Hug, and Leontine Alkema. 2017. “Estimation of Under-5 Mortality by Wealth Quintile (poster for PAA 2017)". figshare. doi: 10.6084/m9.figshare.12401297.

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Fengqing Chao
Postdoctoral Fellow

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

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