Munich Personal RePEc Archive

On the Role of Covariates in the Synthetic Control Method

Botosaru, Irene and Ferman, Bruno (2017): On the Role of Covariates in the Synthetic Control Method.

This is the latest version of this item.

[thumbnail of MPRA_paper_81940.pdf]

Download (292kB) | Preview


We derive conditions under which the original result of Abadie et al (2010) regarding the bias of the Synthetic Control (SC) estimator remains valid when we relax the assumption of a perfect match on observed covariates. We then show that, even when the conditions for the first result are valid, a perfect match on pre-treatment outcomes does not generally imply an approximate match for all covariates. Taken together, our results show that a perfect match on covariates should not be required for the SC method, as long as there is a perfect match on a long set of pre-treatment outcomes.

Available Versions of this Item

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.