25 citations · 64 across the 19 of their papers we have counts for
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econ.EM2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai, Tatsushi Oka, Shota Yasui
We propose a novel regression adjustment method designed for estimating distributional treatment effect parameters in randomized experiments. Randomized experiments have been exten…
econ.EM2024★ 1 cited
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
Tatsushi Oka, Shota Yasui, Yuta Hayakawa +1
In this paper, we address the issue of estimating and inferring distributional treatment effects in randomized experiments. The distributional treatment effect provides a more comp…