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

• Main Authors: JIANG, Liang, LINTON, Oliver B., TANG, Haihan, ZHANG, Yichong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Randomized experiment; Covariate-adaptive randomization; High-dimensional data; Local average treatment effects; Regression adjustment; Econometrics
• Online Access: https://ink.library.smu.edu.sg/soe_research/2633; https://ink.library.smu.edu.sg/context/soe_research/article/3632/viewcontent/2201.13004.pdf
• Institution: Singapore Management University

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...