Factors explaining child survival in Ethiopia: application of two-stage probit model

Abstract

Policymakers in many developing countries had been mandated to pursue the goal of reducing child mortality as one of the Millennium Development Goals (MDGs). This paper analyses the factors influencing child survival in Ethiopia using a 2011 Demographic and Health Survey (DHS) dataset. Descriptive statistics and two-stage least square probit regression were employed for data analyses. Results showed that the majority of the children (82.19 per cent) were born to households in rural areas, while average household heads' age was 42.78 years. Using combined children data, fertility, age of household heads, residence in urban areas, drinking of alcohol and smoking significantly reduced probability of child survival, while altitude, education, male household headship, age at first birth and rendering of assistance on domestic chores by the husband increased it (p < 0.05). It was concluded that efforts at reducing maternal fertility by promoting education of female children will go a long way in reducing child mortality in Ethiopia.