Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance

Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance

We study how to improve efficiency via regression adjustments with additional covariates under covariate-adaptive randomizations (CARs) when subject compliance is imperfect. We first establish the semiparametric efficiency bound for the local average treatment effect (LATE) under CARs. Second, we de...

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書目詳細資料
Main Authors:	JIANG, Liang, LINTON, Oliver B., TANG, Haihan, ZHANG, Yichong
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2024
主題:	Randomized experiment Covariate-adaptive randomization High-dimensional data Local average treatment effects Regression adjustment Econometrics
在線閱讀:	https://ink.library.smu.edu.sg/soe_research/2633 https://ink.library.smu.edu.sg/context/soe_research/article/3632/viewcontent/2201.13004.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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