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.
Hence by Theorem 3.10.5 of van der Vaart and Wellner (1996), we have that sup f ∈F √n{(θ+ n,τn(f) − θ− n,τn(f)} − 1√n nX i=1 {φ+ 0,τ0(Zn,i; f) − φ− 0,τ0(Zn,i; f)} Pn →
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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.