Munich Personal RePEc Archive

Cherry Picking with Synthetic Controls

Ferman, Bruno and Pinto, Cristine and Possebom, Vitor (2017): Cherry Picking with Synthetic Controls.

WarningThere is a more recent version of this item available.

Download (1MB) | Preview


We show that a lack of guidance on how to choose the matching variables used in the Synthetic Control (SC) estimator creates specification-searching opportunities in SC applications. This undermines one of the potential advantages of the method, which is providing a transparent way of choosing comparison units and, therefore, being less susceptible to specification searching than alternative methods. To address this problem, we provide recommendations to limit the possibilities for specification searching in the SC method. Finally, we analyze the possibilities for specification searching and our recommendations in two empirical applications.

Available Versions of this Item

MPRA is a RePEc service hosted by
the Munich University Library in Germany.