SUMMARY We provide the first empirical application of a new approach proposed by Lee (Journal of Econometrics 2007; <b>140</b>(2), 333–374) to estimate peer effects in a linear‐in‐means model when individuals interact in groups. Assumingsufficient group size variation, this approach allows to control...

We provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model. This approach allows to control for group-level unobservable and to solve the reflection problem. We investigate peer effects in student achievement in...

We provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model when individuals interact in groups. Assuming sufficient group size variation, this approach allows to control for correlated effects at the group level and to...

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 provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model. This approach allows to control for group-level unobservables and to solve the reflection problem. We investigate peer effects in student achievement in...

We provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model. This approach allows to control for group-level unobservables and to solve the reflection problem. We investigate peer effects in student achievement in...

We provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model. This approach allows to control for group-level unobservables and to solve the reflection problem. We investigate peer effects in student achievement in...

We provide the first empirical application of a new approach proposed by Lee (2007) to estimate peer effects in a linear-in-means model. The approach allows to control for group-level unobservables and to solve the reflection problem, without imposing ad hoc exclusion restrictions or requiring...

In this paper, we propose new solutions to the well-known problem of identification of social effects. Manski (1993) showed that endogenous and contextual (or exogenous) social effects cannot, in general, be disentangled in the linear-in-means model. Our main innovation is that we allow...

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...