Format du dépôt |
Fichier |
Type de dépôt |
Pré-publication, Document de travail |
Titre |
en
Peer Effects in Networks: a Survey
|
Résumé |
en
We survey the recent, fast-growing literature on peer effects in networks. An important recurring theme is that the causal identification of peer effects depends on the structure of the network itself. In the absence of correlated effects, the reflection problem is generally solved by network interactions even in non-linear, heterogeneous models. By contrast, microfounda-tions are generally not identified. We discuss and assess the various approaches developed by economists to account for correlated effects and network endogeneity in particular. We classify these approaches in four broad categories: random peers, random shocks, structural endogeneity and panel data. We review an emerging literature relaxing the assumption that the network is perfectly known. Throughout, we provide a critical reading of the existing literature and identify important gaps and directions for future research.
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Auteur(s)
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Yann Bramoullé
1
, Habiba Djebbari
1, 2
, Bernard Fortin
3, 4, 2
1
AMSE -
Aix-Marseille Sciences Economiques
( 526949 )
- 5-9 Boulevard Bourdet
CS 50498
13205 Marseille Cedex 1
- France
-
École des hautes études en sciences sociales UMR7316 ( 99539 )
;
-
Aix Marseille Université UMR7316 ( 198056 )
;
-
École Centrale de Marseille UMR7316 ( 300415 )
;
-
Centre National de la Recherche Scientifique UMR7316 ( 441569 )
2
IZA -
Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics
( 237214 )
- Schaumburg-Lippe-Str. 5-9 D-53113 Bonn Germany
- Allemagne
3
CIRPEE -
Centre interuniversitaire sur le risque, les politiques économiques et l'emploi
( 129434 )
- 3000, chemin de la Côte-Sainte-Catherine, Montréal (Québec) CANADA H3T 2A7
- Canada
-
Centre Interuniversitaire sur le Risque, les Politiques Economiques et l'Emploi ( 311892 )
4
CIRANO -
Centre interuniversitaire de recherche en analyse des organisations
( 37218 )
- 2020, rue University, 25e étage Montréal, Québec, H3A 2A5
- Canada
-
Université du Québec à Montréal = University of Québec in Montréal ( 360045 )
|
Langue du document |
Anglais
|
Date de production/écriture |
2019-12
|
Domaine(s) |
-
Sciences de l'Homme et Société/Economies et finances
|
Mots-clés (JEL) |
-
C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models
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C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions
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C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C90 - General
|
Référence interne |
-
Working paper AMSE 2019-36
|
Financement |
-
the French National Research Agency grant ANR-17-EURE-0020
|
Projet(s) ANR |
|
Mots-clés |
en
social networks, peer effects, identification, causal effects, randomization, measurement errors
|