Crime and Networks: 10 Policy Lessons

Working Paper: CEPR ID: DP13823

Authors: Matthew Lindquist; Yves Zenou

Abstract: In this article, we argue that social network analysis can be used in a meaningful way to help us understand more about the root causes of delinquent behavior and crime and also to provide practical guidance for the design of crime prevention policies.

Keywords: Cooffending; Crime; Criminal Networks; Social Networks; Peer Effects; Key Player

JEL Codes: A14; K42; Z13


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
social networks (Z13)delinquent behavior (K42)
peer effects (C92)delinquent behavior (K42)
network centrality (D85)delinquent behavior (K42)
cooffending (K42)crime (K42)
network centrality (D85)overall crime levels (K42)
social interactions (Z13)delinquent behavior (K42)

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