Using field experiments and machine learning to bridge the global learning gap

This dissertation combines field experiments and machine learning to study education in low- and middle-income countries. The first chapter develops a novel approach to measuring educational attainment from social media data. The second and third chapters evaluate teacher training interventions in El Salvador and Tanzania. The fourth chapter compares bottom-up and top-down approaches to public goods provision in rural El Salvador using deep learning for outcome measurement.