Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/259714 
Year of Publication: 
2018
Citation: 
[Journal:] Swiss Journal of Economics and Statistics [ISSN:] 2235-6282 [Volume:] 154 [Issue:] 1 [Publisher:] Springer [Place:] Heidelberg [Year:] 2018 [Pages:] 1-16
Publisher: 
Springer, Heidelberg
Abstract: 
In many contexts we may be interested in understanding whether direct connections between agents, such as declared friendships in a classroom or family links in a rural village, affect their outcomes. In this paper, we review the literature studying econometric methods for the analysis of linear models of social effects, a class that includes the "linear-in-means" local average model, the local aggregate model, and models where network statistics affect outcomes. We provide an overview of the underlying theoretical models, before discussing conditions for identification using observational and experimental/quasi-experimental data.
Subjects: 
Networks
Social effects
Peer effects
Econometrics
JEL: 
C31
C81
Z13
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size
729.53 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.