Multilevel logistic modelling of under-five child mortality variations among regional states of Ethiopia

Ashenafi Senbeta Bedane, Hawassa University
Ayele Taye Goshu, Hawassa University

The main aim of this study is to investigate under-five child mortality variations among regional states of Ethiopia. This study is conducted based on Demographic and Health Survey (DHS) 2011 data, collected for 10,156 children under-five years of age in Ethiopia.The variance of the random component model related to the intercept term is statistically significant, implying the presence of under-five child mortality variations among regional states of the country and it is accounted by the random intercept term. The major significant factors affected under-five child mortality are: mother’s education level, birth index, child size and mother’s age at birth, type of birth and breastfeeding status. It also revealed that there is a contribution of those major factors to under-five child mortality variations among regional states. However, those factors significantly affecting under-five child mortality is explicitly did not show significant effects on variations of under-five child mortality across regional states.