Entr opy Balancing for Causal Effects : A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies

@inproceedings{Hainmueller2012EntrOB,
  title={Entr opy Balancing for Causal Effects : A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies},
  author={Jens Hainmueller},
  year={2012}
}
This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy balancing relies on a maximum entropy reweighting scheme that calibrates unit weights so that the reweighted treatment and control group satisfy a potentially large set of prespecified balance conditions that incorporate information about known sample moments. Entropy balancing thereby exactly adjusts inequalities in representation with respect… CONTINUE READING
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