Crime and Networks: 10 Policy Lessons

48 Pages Posted: 4 Sep 2019 Last revised: 25 Apr 2023

See all articles by Matthew J. Lindquist

Matthew J. Lindquist

Stockholm University - Swedish Institute for Social Research (SOFI)

Yves Zenou

Stockholm University; Monash University - Department of Economics; Research Institute of Industrial Economics (IUI); IZA Institute of Labor Economics; Centre for Economic Policy Research (CEPR)

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Abstract

Social network analysis can help us understand more about the root causes of delinquent behavior and crime and provide practical guidance for the design of crime prevention policies. To illustrate these points, we first present a selective review of several key studies and findings from the criminology and police studies literature. We then turn to a presentation of recent contributions made by network economists. We highlight 10 policy lessons and provide a discussion of recent developments in the use of big data and computer technology.

Keywords: social networks, criminal networks, crime, co-offending, peer effects, key player

JEL Classification: A14, K42, Z13

Suggested Citation

Lindquist, Matthew J. and Zenou, Yves and Zenou, Yves, Crime and Networks: 10 Policy Lessons. IZA Discussion Paper No. 12534, Available at SSRN: https://ssrn.com/abstract=3445800 or http://dx.doi.org/10.2139/ssrn.3445800

Matthew J. Lindquist (Contact Author)

Stockholm University - Swedish Institute for Social Research (SOFI) ( email )

Kyrkgatan 43B
SE-106 91 Stockholm
Sweden

Yves Zenou

Monash University - Department of Economics ( email )

Australia

Stockholm University ( email )

Universitetsvägen 10
Stockholm, Stockholm SE-106 91
Sweden

Research Institute of Industrial Economics (IUI) ( email )

P.O. Box 5501
S-114 85 Stockholm
Sweden

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Centre for Economic Policy Research (CEPR)

London
United Kingdom

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