We provide new results regarding the identification of peer effects. We consider an extended version of the linear-in-means model where each individual has his own specific reference group. Interactions are thus structured through a social network. We assume that correlated unobservables are...

We investigate whether peer effects at work differ by gender and whether the gender difference in peer effects – if any – depends on work organization, precisely the structure of social networks. We develop a social network model with gender heterogeneity that we test by means of a...

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...