A method estimates unsigned CATE from residual outcome covariances to assist randomization tests without sample splitting, establishing identification, consistency, and validity while showing higher power in simulations.
Multiple conditional randomization tests for lagged and spillover treatment effects
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Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
A method estimates unsigned CATE from residual outcome covariances to assist randomization tests without sample splitting, establishing identification, consistency, and validity while showing higher power in simulations.