Showing 1 - 10 of 14
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...
Persistent link: https://www.econbiz.de/10003937313
When one's treatment status affects the outcomes of others, experimental data are not sufficient to identify a treatment causal impact. In order to account for peer effects in program response, we use a social network model. We estimate and validate the model on experimental data collected for...
Persistent link: https://www.econbiz.de/10010386388
Persistent link: https://www.econbiz.de/10010414248
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...
Persistent link: https://www.econbiz.de/10012842040
When one's treatment status affects the outcomes of others, experimental data are not sufficient to identify a treatment causal impact. In order to account for peer effects in program response, we use a social network model. We estimate and validate the model on experimental data collected for...
Persistent link: https://www.econbiz.de/10013049748
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...
Persistent link: https://www.econbiz.de/10013148320
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...
Persistent link: https://www.econbiz.de/10013317220
Persistent link: https://www.econbiz.de/10012404596
Persistent link: https://www.econbiz.de/10012144875
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...
Persistent link: https://www.econbiz.de/10012167931