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Key Players in Co-Offending Networks

Author

Listed:
  • Lindquist, Matthew J.

    (SOFI, Stockholm University)

  • Zenou, Yves

    (Monash University)

Abstract
We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects in these networks equal to 0.17. This estimate implies a social multiplier of 1.2 for those individuals linked to only one co-offender and a social multiplier of 2 for those linked to three co-offenders. We then provide one of the first empirical tests of the key player policy in a real world setting. This policy defines a micro-founded strategy for removing the criminal from each network that reduces total crime by the largest amount. Using longitudinal data, we are able to compare the theoretical predictions of the key player policy with real world outcomes. By focusing on networks for which the key player has disappeared over time, we show that the theoretical predicted crime reduction is close to what is observed in the real world. We also show that the key player policy outperforms other reasonable police policies such as targeting the most active criminals or targeting criminals who have the highest betweenness or eigenvector centrality in the network. This indicates that behavioral-based policies can be more efficient in reducing crime than those based on algorithms that have no micro-foundation.

Suggested Citation

  • Lindquist, Matthew J. & Zenou, Yves, 2014. "Key Players in Co-Offending Networks," IZA Discussion Papers 8012, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp8012
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    File URL: https://docs.iza.org/dp8012.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hahn, Youjin & Islam, Asadul & Patacchini, Eleonora & Zenou, Yves, 2015. "Network Structure and Education Outcomes: Evidence from a Field Experiment in Bangladesh," IZA Discussion Papers 8872, Institute of Labor Economics (IZA).
    2. Díaz, Carlos & Patacchini, Eleonora & Verdier, Thierry & Zenou, Yves, 2021. "Leaders in juvenile crime," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 638-667.
    3. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    4. Lindquist, Matthew J. & Zenou, Yves, 2019. "Crime and Networks: 10 Policy Lessons," IZA Discussion Papers 12534, Institute of Labor Economics (IZA).
    5. Bhuller, Manudeep & Dahl, Gordon B & Løken, Katrine V. & Mogstad, Magne, 2018. "Incarceration Spillovers in Criminal and Family Networks," Discussion Paper Series in Economics 15/2018, Norwegian School of Economics, Department of Economics.
    6. de Martí, Joan & Zenou, Yves, 2015. "Network games with incomplete information," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 221-240.
    7. Zenou, Yves & Chen, Ying-Ju & Zhou, Junjie, 2015. "Multiple Activities for Socially-Connected Criminals," CEPR Discussion Papers 10709, C.E.P.R. Discussion Papers.
    8. Karin Hederos Eriksson & Randi Hjalmarsson & Matthew J. Lindquist & Anna Sandberg, 2016. "The importance of family background and neighborhood effects as determinants of crime," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 219-262, January.
    9. Amarasinghe, Ashani & Hodler, Roland & Raschky, Paul A. & Zenou, Yves, 2024. "Key players in economic development," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 40-56.
    10. Lindquist, Matthew J. & Patacchini, Eleonora & Vlassopoulos, Michael & Zenou, Yves, 2024. "Spillovers in Criminal Networks: Evidence from Co-offender Deaths," IZA Discussion Papers 17113, Institute of Labor Economics (IZA).
    11. Michael D. König & Xiaodong Liu & Yves Zenou, 2019. "R&D Networks: Theory, Empirics, and Policy Implications," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 476-491, July.
    12. Bethencourt, Carlos & Kunze, Lars, 2022. "The economics of crime and socialization: The role of the family," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 579-597.
    13. Deng, Liuchun & Sun, Yufeng, 2017. "Criminal network formation and optimal detection policy: The role of cascade of detection," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 43-63.
    14. Zenou, Yves & Jackson, Matthew O. & Rogers, Brian, 2016. "Networks: An economic perspective," CEPR Discussion Papers 11452, C.E.P.R. Discussion Papers.
    15. Liu, Xiaodong & Saraiva, Paulo, 2015. "GMM estimation of SAR models with endogenous regressors," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 68-79.
    16. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2020. "Curbing the consumption of positional goods: Behavioral interventions versus taxation," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 1-21.

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    More about this item

    Keywords

    crime; social networks; peer effects; social multiplier; key player; crime policies;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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