Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations

Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations

Datasets from field experiments with covariate-adaptive randomizations (CARs) usually contain extra baseline covariates in addition to the strata indicators. We propose to incorporate these extra covariates via auxiliary regressions in the estimation and inference of unconditional QTEs under CARs. W...

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Bibliographic Details
Main Authors: JIANG, Liang, PHILLIPS, Peter C.B., TAO, Yubo, ZHANG, Yichong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Covariate-adaptive randomization
high-dimensional data
regression adjustment
quantile treatment effects
Econometrics
Online Access:https://ink.library.smu.edu.sg/soe_research/2494
https://ink.library.smu.edu.sg/context/soe_research/article/3493/viewcontent/2105.14752.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/soe_research/2494
https://ink.library.smu.edu.sg/context/soe_research/article/3493/viewcontent/2105.14752.pdf

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