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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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/soe_research/2633
https://ink.library.smu.edu.sg/context/soe_research/article/3632/viewcontent/2201.13004.pdf

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