Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

@article{Hirano2000EfficientEO,
  title={Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score},
  author={Keisuke Hirano and Guido Imbens and Geert Ridder},
  journal={Econometrics eJournal},
  year={2000}
}
We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is independent of the potential outcomes given pretreatment variables, biases associated with simple treatment-control average comparisons can be removed by adjusting for differences in the pre-treatment variables. Rosenbaum and Rubin (1983, 1984) show that adjusting solely for differences between treated and control units in a scalar function of the pre-treatment, the… 
The Value of Knowing the Propensity Score for Estimating Average Treatment Effects
  • C. Rothe
  • Economics, Mathematics
    SSRN Electronic Journal
  • 2016
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