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• W3192284521 abstract "This paper considers identification and inference for the distribution of treatment effects conditional on a set of observable covariates. Since the conditional distribution of treatment effects is not point identified without strong assumptions on the joint distribution of potential outcomes, we obtain bounds on the conditional distribution of treatment effects by using the Frechet-Hoeffding bounds. We also consider the case where the treatment is endogenous and propose two stochastic dominance assumptions that are consistent with many economic theories to tighten the bounds. We develop a nonparametric framework to estimate the bounds on the conditional distribution of treatment effects and establish the asymptotic theory for uniform inference over the support of treatment effects. Two empirical examples are presented to illustrate the usefulness of the methods, with a focus on heterogeneous treatment effects." @default.
• W3192284521 created "2021-08-16" @default.
• W3192284521 creator A5062404096 @default.
• W3192284521 date "2021-08-02" @default.
• W3192284521 modified "2023-09-23" @default.
• W3192284521 title "Partial Identification and Inference for the Conditional Distribution of Treatment Effects" @default.
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• W3192284521 hasPublicationYear "2021" @default.
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