 Peer Effects in Networks: A SurveyYann Bramoullé, Habiba Djebbari and Bernard Fortin () Post-Print from HAL 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 nonlinear, heterogeneous models. By contrast, microfoundations 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. Keywords: social networks; peer effects; identification; causal effects; randomization; measurement errors (search for similar items in EconPapers) Published in Annual Review of Economics, 2020, 12 (1), pp.603-629. ⟨10.1146/annurev-economics-020320-033926⟩ There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03072119 DOI: 10.1146/annurev-economics-020320-033926 Access Statistics for this paper More papers in Post-Print from HAL |
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