Causal Inference and Impact Evaluation
Denis Fougère
(1, 2, 3, 4, 5)
,
Nicolas Jacquemet
(6, 7)
1
CNRS -
Centre National de la Recherche Scientifique
2 OSC - Observatoire sociologique du changement (Sciences Po, CNRS)
3 LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po)
4 CEPR - Center for Economic Policy Research
5 IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics
6 CES - Centre d'économie de la Sorbonne
7 PSE - Paris School of Economics
2 OSC - Observatoire sociologique du changement (Sciences Po, CNRS)
3 LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po)
4 CEPR - Center for Economic Policy Research
5 IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics
6 CES - Centre d'économie de la Sorbonne
7 PSE - Paris School of Economics
Denis Fougère
- Fonction : Auteur
- PersonId : 742600
- IdHAL : fougere-denis
- ORCID : 0000-0001-9287-6138
- IdRef : 031093477
Nicolas Jacquemet
- Fonction : Auteur
- PersonId : 12676
- IdHAL : nicolas-jacquemet
- ORCID : 0000-0002-5056-9225
- IdRef : 103289860
Résumé
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.
Domaines
Economies et financesFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Causal Inference and Impact Evaluation
|
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.
|
Auteur(s) |
Denis Fougère
1, 2, 3, 4, 5
, Nicolas Jacquemet
6, 7
1
CNRS -
Centre National de la Recherche Scientifique
( 441569 )
- France
2
OSC -
Observatoire sociologique du changement (Sciences Po, CNRS)
( 1010 )
- 27, rue Saint-Guillaume
75337 Paris Cedex 07
- France
3
LIEPP -
Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po)
( 218465 )
- LIEPP - Sciences Po
27, rue Saint-Guillaume
75337 Paris Cedex 07
- France
4
CEPR -
Center for Economic Policy Research
( 143559 )
- Royaume-Uni
5
IZA -
Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics
( 237214 )
- Schaumburg-Lippe-Str. 5-9 D-53113 Bonn Germany
- Allemagne
6
CES -
Centre d'économie de la Sorbonne
( 15080 )
- Maison des Sciences Économiques - 106-112 Boulevard de l'Hôpital - 75647 Paris Cedex 13
- France
7
PSE -
Paris School of Economics
( 301309 )
- 48 boulevard Jourdan 75014 Paris
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2019-12
|
Date de publication électronique |
2019-12-18
|
Titre de la collection |
Special Issue 50th Anniversary
|
Numéro |
510-511-512
|
Page/Identifiant |
181-200
|
Domaine(s) |
|
Mots-clés (JEL) |
|
Financement |
|
Projet(s) ANR |
|
Mots-clés |
en
Causal effects, Causal inference, Evaluation methods
|
DOI | 10.24187/ecostat.2019.510t.1996 |
Origine :
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