Proposes nonparametric tests for treatment effect heterogeneity that avoid sample splitting, incorporate structured assumptions, and target policy-relevant alternatives comparing personalized vs. covariate-ignoring rules.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Nonparametric tests of treatment effect homogeneity for policy-makers
Proposes nonparametric tests for treatment effect heterogeneity that avoid sample splitting, incorporate structured assumptions, and target policy-relevant alternatives comparing personalized vs. covariate-ignoring rules.