Methods of Identification in Social Networks

Working Paper: NBER ID: w20414

Authors: Bryan S. Graham

Abstract: Social and economic networks are ubiquitous, serving as contexts for job search, technology diffusion, the accumulation of human capital and even the formulation of norms and values. The systematic empirical study of network formation - the process by which agents form, maintain and dissolve links - within economics is recent, is associated with extraordinarily challenging modeling and identification issues, and is an area of exciting new developments, with many open questions. This article reviews prominent research on the empirical analysis of network formation, with an emphasis on contributions made by economists.

Keywords: No keywords provided

JEL Codes: C23; C25; D85


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
peer characteristics (C92)academic performance (D29)
social network structure (D85)job search success (J68)
unobserved factors (C29)(peer characteristics, academic performance) (I24)
unobserved factors (C29)(social network structure, job search success) (D85)

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