Type
Article
Titre
Causal Inference and Impact Evaluation
Dans
Economie et statistique
Auteur(s)
FOUGERE Denis - Observatoire sociologique du changement (Auteur)
JACQUEMET Nicolas - Centre d'économie de la Sorbonne (CNRS/UP 1) (Auteur)
Éditeur
FR : Institut national de la statistique et des études économiques
Numéro
510-511-512
Pages
181 - 200 p.
ISSN
03361454
DOI
10.24187/ecostat.2019.510t.1996
Mots clés
impact evaluation method
Résumé
EN
This paper describes, in a non-technical way, the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. In the first part, we provide a brief survey of the papers making use of those methods that have been published by the journal Economie et Statistique / Economics and Statistics over the past fifteen years. In the second part, some of the most important methodological advances to have recently been put forward in this field of research are presented. To finish, we focus not only on the need to pay particular attention to the accuracy of the estimated effects, but also on the requirement to replicate evaluations, carried out by experimentation or quasi-experimentation, in order to distinguish false positives from proven effects.

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