Estimating Peer Effects Using Partial Network Data

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15 Avril 2020
Types de publication: 
Cahier de recherche
Auteur(s): 
Vincent Boucher
Elysee Aristide Houndetoungan
Axe de recherche: 
Enjeux économiques et financiers
Mots-clés: 
Social Networks
Peer effects
Missing variables
measurement errors
Classification JEL: 
C31
C36
C51

We study the estimation of peer effects through social networks when researchers do not observe the network structure. Instead, we assume that researchers know (have a consistent estimate of) the distribution of the network. We show that this assumption is sufficient for the estimation of peer effects using a linear-in-means model. We present and discuss important examples where our methodology can be applied. In particular, we provide an empirical application to the study of peer effects on students’ academic achievement.
 

Contact: 

Vincent Boucher : Department of Economics, Université Laval. CRREP. CREATE.
Aristide Houndetoungan : Department of Economics, Université Laval. CRREP.