Doubly robust uniform confidence band for the conditional average treatment effect function
Sokbae (Simon) Lee (),
Ryo Okui () and
Yoon-Jae Whang ()
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
In this paper, we propose a doubly robust method to estimate the heterogeneity of the average treatment effect with respect to observed covariates of interest. We consider a situation where a large number of covariates are needed for identifying the average treatment effect but the covariates of interest for analyzing heterogeneity are of much lower dimension. Our proposed estimator is doubly robust and avoids the curse of dimensionality. We propose a uniform confidence band that is easy to compute, and we illustrate its usefulness via Monte Carlo experiments and an application to the effects of smoking on birth weights.
JEL-codes: J1 (search for similar items in EconPapers)
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Published in Journal of Applied Econometrics, 29, November, 2017, 32(7), pp. 1207-1225. ISSN: 0883-7252
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Journal Article: Doubly robust uniform confidence band for the conditional average treatment effect function (2017)
Working Paper: Doubly Robust Uniform Confidence Band for the Conditional Average Treatment Effect Function (2016)
Working Paper: Doubly robust uniform confidence band for the conditional average treatment effect function (2016)
Working Paper: DOUBLY ROBUST UNIFORM CONFIDENCE BAND FOR THE CONDITIONAL AVERAGE TREATMENT EFFECT FUNCTION (2016)
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