G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14260
DP14260 Peer Effects in Networks: a Survey
Yann Bramoullé; Habiba Djebbari; Bernard Fortin
发表日期2019-12-29
出版年2019
语种英语
摘要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, 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.
主题Labour Economics
关键词Networks Peer effects Identification
URLhttps://cepr.org/publications/dp14260
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543149
推荐引用方式
GB/T 7714
Yann Bramoullé,Habiba Djebbari,Bernard Fortin. DP14260 Peer Effects in Networks: a Survey. 2019.
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