Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Peer Effects in Networks: a Survey

Abstract : 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.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

Cited literature [110 references]  Display  Hide  Download
Contributor : Elisabeth Lhuillier <>
Submitted on : Wednesday, January 15, 2020 - 12:27:34 PM
Last modification on : Wednesday, August 5, 2020 - 3:09:31 AM
Long-term archiving on: : Thursday, April 16, 2020 - 3:58:54 PM


WP 2019 - Nr 36.pdf
Files produced by the author(s)


  • HAL Id : halshs-02440709, version 1



Yann Bramoullé, Habiba Djebbari, Bernard Fortin. Peer Effects in Networks: a Survey. 2019. ⟨halshs-02440709⟩



Record views


Files downloads