Determinants of Infant Mortality in Ethiopia: A Multilevel Count Regression Models
| dc.contributor.advisor | Tesfaw, Dejen(PhD) | |
| dc.contributor.author | Olani, Jiregna | |
| dc.date.accessioned | 2018-06-26T09:13:39Z | |
| dc.date.accessioned | 2023-11-09T14:29:51Z | |
| dc.date.available | 2018-06-26T09:13:39Z | |
| dc.date.available | 2023-11-09T14:29:51Z | |
| dc.date.issued | 2016-06 | |
| dc.description.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 | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/3663 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Abeba university | en_US |
| dc.subject | Infant Mortality in Ethiopia | en_US |
| dc.title | Determinants of Infant Mortality in Ethiopia: A Multilevel Count Regression Models | en_US |
| dc.type | Thesis | en_US |