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

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  • Shunichiro Orihara
  • Etsuo Hamada

Abstract

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.

Suggested Citation

  • Shunichiro Orihara & Etsuo Hamada, 2019. "Double robust estimator in general treatment regimes based on Covariate-balancing," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(3), pages 462-478, February.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:3:p:462-478
    DOI: 10.1080/03610926.2017.1414259
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