Using Machine Learning to Estimate Multidimensional Poverty
The Multidimensional Poverty Index (MPI) is a measure of poverty that goes beyond income, incorporating dimensions such as education, health, and living standards for a more comprehensive view. The Human Development Report Office of the United Nations Development Programme (HDRO/UNDP) and Oxford Poverty and Human Development Initiative (OPHI) release the global multidimensional poverty index estimates annually. The MPI typically relies on Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), however, these sources have limitations due to data gaps.