Covariate Distribution Balance via Propensity Scores

@article{SantAnna2019CovariateDB,
  title={Covariate Distribution Balance via Propensity Scores},
  author={Pedro H. C. Sant’Anna and Xiaojun Song and Qi Xu},
  journal={PSN: Quasi-Experiment (Topic)},
  year={2019}
}
This paper proposes new estimators for the propensity score that aim to maximize the covariate distribution balance among different treatment groups. Heuristically, our proposed procedure attempts to estimate a propensity score model by making the underlying covariate distribution of different treatment groups as close to each other as possible. Our estimators are data-driven, do not rely on tuning parameters such as bandwidths, admit an asymptotic linear representation, and can be used to… Expand
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