Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods

@inproceedings{Li2017StatisticalIF,
  title={Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods},
  author={Kathleen T. Li},
  year={2017}
}
The synthetic control method (SCM), a powerful tool for estimating average treatment effects (ATE), is increasingly popular in fields such as statistics, economics,marketing and management. The SCM is particularly suitable for estimating ATE with a single (or a few) treated unit(s), a fixed number of control units, and both preand posttreatment periods are large (we term this type data as ‘long panels’). To date, there has been no formal inference theory for synthetic control ATE estimator with… CONTINUE READING