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Criminal Networks: Who is the Key Player?

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  • Xiaodong Liu

    (University of Colorado at Boulder)

  • Eleonora Patacchini

    (La Sapienza University of Rome, EIEF and CEPR)

  • Yves Zenou

    (Stockholm University, Research Institute of Industrial Economics (IFN) and GAINS)

  • Lung-Fei Lee

    (The Ohio State University)

Abstract

We analyze delinquent networks of adolescents in the United States. We develop a dynamic network formation model showing who the key player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime level. We then structurally estimate our model using data on criminal behaviors of adolescents in the United States (AddHealth data). Compared to other criminals, key players are more likely to be male, have less educated parents, are less attached to religion and feel socially more excluded. We also find that, even though some criminals are not very active in criminal activities, they can be key players because they have a crucial position in the network in terms of betweenness centrality.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2012.39.

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Date of creation: May 2012
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Handle: RePEc:fem:femwpa:2012.39

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Keywords: Crime; Bonacich Centrality; Dynamic Network Formation; Crime Policies;

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References

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Cited by:
  1. Fafchamps, Marcel & Soderbom, Mans, 2013. "Network proximity and business practices in African Manufacturing," Policy Research Working Paper Series 6474, The World Bank.
  2. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2011. "Dynamic Aspects of Teenage Friendships and Educational Attainment," CEPR Discussion Papers 8223, C.E.P.R. Discussion Papers.
  3. Patacchini, Eleonora & Zenou, Yves, 2011. "Social Networks and Parental Behavior in the Intergenerational Transmission of Religion," CEPR Discussion Papers 8443, C.E.P.R. Discussion Papers.
  4. Zenou, Yves & König, Michael D. & Tessone, Claudio J., 0. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society.
  5. William C. Horrace & Xiaodong Liu & Eleonora Patacchini, 2014. "Endogenous Network Production Functions with Selectivity," Center for Policy Research Working Papers 168, Center for Policy Research, Maxwell School, Syracuse University.
  6. Lindquist, Matthew & Zenou, Yves, 2014. "Key Players in Co-Offending Networks," CEPR Discussion Papers 9889, C.E.P.R. Discussion Papers.
  7. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves, 2014. "Endogenous peer effects: local aggregate or local average?," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 39-59.

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