A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity

Elia Lapenta, Anthony Strittmatter, Pedro Vergara Merino

This study proposes a formal, computationally efficient nonparametric omnibus test for treatment-effect heterogeneity that is compatible with a broad class of estimators, including…