Heterogeneous Treatment Effects in Education Policy: Evidence from Causal Forests

Abstract

We estimate heterogeneous treatment effects of district-level tutoring interventions using causal forests fitted to linked administrative records. The results show substantial variation by baseline achievement and school resources, suggesting that average treatment effects mask practically important subgroup differences.