Synthetic Controls in Action

Fiche du document

Date

11 mars 2022

Type de document
Périmètre
Identifiant
  • 2203.06279
Collection

arXiv

Organisation

Cornell University




Citer ce document

Alberto Abadie et al., « Synthetic Controls in Action », arXiv - économie


Partage / Export

Résumé 0

In this article we propose a set of simple principles to guide empirical practice in synthetic control studies. The proposed principles follow from formal properties of synthetic control estimators, and pertain to the nature, implications, and prevention of over-fitting biases within a synthetic control framework, to the interpretability of the results, and to the availability of validation exercises. We discuss and visually demonstrate the relevance of the proposed principles under a variety of data configurations.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en