Determinants of Infant Mortality in Ethiopia: A Multilevel Count Regression Models
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Date
2016-06
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Addis Abeba university
Abstract
Infant mortality rate is used as an indicator of a nation’s economic welfare. Many
researchers analyzed determinants of infant deaths in Ethiopia using a limited set
of variables. The aim of this study was to identify factors that affect infant
mortality based on 2014 Ethiopia mini Demographic and health survey (EMDHS)
dataset using multilevel count regression models. The descriptive result showed that
4905 out of 5534 of the respondents, have no infant deaths per women, indicating
excess zeroes. Among families of count models the ZIP model was found to be a
better fit to the dataset than the others. The results of ZIP regression model
showed that region, household size, birth order, and birth interval were identified
as significant factors. At the stage of multilevel, ZIP model showed that age,
household size, birth order and birth interval were significantly affect infant death.
The study also showed that there is a significant regional variations of infant
mortality (𝜎𝑢0
2 = 3.6920 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.0001).Further, the age (𝜎𝑢2
2 = 0.1181,
𝑝𝑣𝑎𝑙𝑢𝑒 = 0.0001) and household size (𝜎𝑢4
2 = 0.0501, 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.0002) effects on
infant mortalities varies among regions of Ethiopia
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Keywords
Infant Mortality in Ethiopia