How is the multidimensional poverty changing in Ethiopia? An empirical examination using demographic and health survey data

Abstract

Utilizing three recent waves of Demographic and Health Surveys data from nationally representative samples, this study employs the Alkire and Foster methodology to gauge the Multidimensional Poverty Index in Ethiopia. Examining various factors including living standards, healthcare, and education access, analysis extends to subpopulation groups. By employing an ordered probit model after data restructuring, trends and determinants of multidimensional poverty at national and sub-population levels are assessed. Key factors impacting multidimensional poverty include location, household head’s demographics (sex, literacy, and age), family size, land area, and region of residence. Despite a notable decrease in households in multidimensional poverty, vulnerability to poverty is on the rise. While multidimensional poverty remains predominantly rural, vulnerability in urban households escalates. Empirical evidence supports growing economic disparity in Ethiopia. Regional disparities are evident, with Somali and Afar regions being the hardest poverty hit. Household size demonstrates a non-linear effect on poverty. This study underscores practical and theoretical implications for poverty alleviation strategies.