Corpus ID: 211677376

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference

@inproceedings{Awan2020AlmostMatchingExactlyFT,
  title={Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference},
  author={M. Usaid Awan and Marco Morucci and Vittorio Orlandi and Sudeepa Roy and Cynthia Rudin and Alexander Volfovsky},
  booktitle={AISTATS},
  year={2020}
}
We propose a matching method that recovers direct treatment effects from randomized experiments where units are connected in an observed network, and units that share edges can potentially influence each others' outcomes. Traditional treatment effect estimators for randomized experiments are biased and error prone in this setting. Our method matches units almost exactly on counts of unique subgraphs within their neighborhood graphs. The matches that we construct are interpretable and high… Expand
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