• DOI:10.3386/W25532
Corpus ID: 88522988

Synthetic Difference in Differences

@article{Arkhangelsky2018SyntheticDI,
  title={Synthetic Difference in Differences},
  author={Dmitry Anatolievich Arkhangelsky and Susan Athey and David A. Hirshberg and Guido W. Imbens and Stefan Wager},
  journal={NBER Working Paper Series},
  year={2018}
}

Dmitry Anatolievich Arkhangelsky, Susan Athey, +2 authors Stefan Wager

Published 2018

Mathematics

NBER Working Paper Series

We present a new perspective on the Synthetic Control (SC) method as a weighted least squares regression estimator with time fixed effects and unit weights. This perspective suggests a generalization with two way (both unit and time) fixed effects, and both unit and time weights, which can be interpreted as a unit and time weighted version of the standard Difference In Differences (DID) estimator. We find that this new Synthetic Difference In Differences (SDID) estimator has attractive… CONTINUE READING

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