Corpus ID: 85504680

Matching Methods for Causal Inference with Time-Series Cross-Sectional Data [R package PanelMatch version 1.0.0]

@inproceedings{Kim2020MatchingMF,
  title={Matching Methods for Causal Inference with Time-Series Cross-Sectional Data [R package PanelMatch version 1.0.0]},
  author={I. S. Kim and Adam Rauh and Erik Wang and K. Imai},
  year={2020}
}

I. S. Kim, Adam Rauh, +1 author K. Imai

Published 2020

Computer Science

Matching methods improve the validity of causal inference by reducing model dependence and offering intuitive diagnostics. While they have become a part of the standard tool kit across disciplines, matching methods are rarely used when analyzing time-series cross-sectional data. We fill this methodological gap. In the proposed approach, we first match each treated observation with control observations from other units in the same time period that have an identical treatment history up to the… CONTINUE READING

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