Introduces covariate-adjustment with sample-splitting for finite-sample valid inference on points of the treatment effect distribution, applied to five microcredit RCTs revealing heterogeneous effects despite null averages.
Estimates for the distribution function of a sum of two random variables when the marginal distributions are fixed,
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Predicting the Distribution of Treatment Effects: A Covariate-Adjustment Approach
Introduces covariate-adjustment with sample-splitting for finite-sample valid inference on points of the treatment effect distribution, applied to five microcredit RCTs revealing heterogeneous effects despite null averages.