• Corpus ID: 240070375

The Balancing Act in Causal Inference

  title={The Balancing Act in Causal Inference},
  author={Eli Ben-Michael and Avi Feller and David A. Hirshberg and Jos{\'e} R. Zubizarreta},
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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  • Z. Tan
  • Mathematics
  • 2019
Propensity scores are widely used with inverse probability weighting to estimate treatment effects in observational studies. We study calibrated estimation as an alternative to maximum likelihood