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Semiparametric Estimation of Treatment Effects in Randomized Experiments

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NBER2021-09-01 更新2025-01-04 收录
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We develop new semiparametric methods for estimating treatment effects. We focus on a setting where the outcome distributions may be thick tailed, where treatment effects are small, where sample sizes are large and where assignment is completely random. This setting is of particular interest in

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2021-09-01
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