Deep Proxy Means Tests: Using Deep Learning to Assess Poverty Status
This project includes using deep learning to improve asssesments of poverty for development organizations, such as the World Bank. Project Lead: Jonathan Hersh, Assistant Professor Economics and Management Science, Chapman University Detailed Project Description: In development, a household’s poverty status is most commonly determined through the use of a Proxy Means Tests (PMT). This is, at its heart, […]