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Optimal Experimental Design and Estimation when Potential Outcomes are Bounded

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NBER2026-08-01 更新2026-08-21 收录
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I study the optimal design and analysis of randomized experiments for estimating finite-population average treatment effects when potential outcomes are known to be bounded, as with binary outcomes. Among all assignment mechanisms and a broad class of affine estimators, worst-case mean-squared error

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2026-08-01
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