The functional average treatment effect

This article establishes the functional average as an important estimand for causal inference. The significance of the estimand lies in its robustness against traditional issues of confounding. We prove that this robustness holds even when the probability distribution of the outcome, conditional on...

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Bibliographic Details
Main Authors: Sparkes Shane, Garcia Erika, Zhang Lu
Format: Article
Language:English
Published: De Gruyter 2024-11-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2023-0076
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