Determinants Of Infant Mortality In Ethiopia A Multilevel Count Regression Models

Infant mortality rate is used as an indicator of a nation’s economic welfare. Manyrnresearchers analyzed determinants of infant deaths in Ethiopia using a limited setrnof variables. The aim of this study was to identify factors that affect infantrnmortality based on 2014 Ethiopia mini Demographic and health survey (EMDHS)rndataset using multilevel count regression models. The descriptive result showed thatrn4905 out of 5534 of the respondents, have no infant deaths per women, indicatingrnexcess zeroes. Among families of count models the ZIP model was found to be arnbetter fit to the dataset than the others. The results of ZIP regression modelrnshowed that region, household size, birth order, and birth interval were identifiedrnas significant factors. At the stage of multilevel, ZIP model showed that age,rnhousehold size, birth order and birth interval were significantly affect infant death.rnThe study also showed that there is a significant regional variations of infantrnmortality (𝜎𝑢0rn2 = 3.6920 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.0001).Further, the age (𝜎𝑢2rn2 = 0.1181,rn𝑝𝑣𝑎𝑙𝑢𝑒 = 0.0001) and household size (𝜎𝑢4rn2 = 0.0501, 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.0002) effects onrninfant mortalities varies among regions of Ethiopia

Get Full Work

Report copyright infringement or plagiarism