Double robust estimator in general treatment regimes based on Covariate-balancing

Double robust estimators have double the chance of being a consistent estimator of a causal effect in binary treatments cases. In this paper, we proposed an estimator of a causal effect for general treatment regimes based on covariate-balancing. Under parametrical situation, our estimator has double...

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Bibliographic Details
Published in:	Communications in statistics. Theory and methods Vol. 48; no. 3; pp. 462 - 478
Main Authors:	Orihara, Shunichiro, Hamada, Etsuo
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 01.02.2019 Taylor & Francis Ltd
Subjects:	62-02 Balancing Causal effect Covariate-balancing Double robust estimator General treatment regimes
ISSN:	0361-0926, 1532-415X
Online Access:	Get full text
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Summary:	Double robust estimators have double the chance of being a consistent estimator of a causal effect in binary treatments cases. In this paper, we proposed an estimator of a causal effect for general treatment regimes based on covariate-balancing. Under parametrical situation, our estimator has double robustness.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	0361-0926 1532-415X
DOI:	10.1080/03610926.2017.1414259