# The Balancing Act in Causal Inference

@inproceedings{BenMichael2021TheBA, title={The Balancing Act in Causal Inference}, author={Eli Ben-Michael and Avi Feller and David A. Hirshberg and Jos{\'e} R. Zubizarreta}, year={2021} }

The idea of covariate balance is at the core of causal inference. Inverse propensity weights play a central role because they are the unique set of weights that balance the covariate distributions of different treatment groups. We discuss two broad approaches to estimating these weights: the more traditional one, which fits a propensity score model and then uses the reciprocal of the estimated propensity score to construct weights, and the balancing approach, which estimates the inverse…

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