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Social Interactions and Crime Revisited: An Investigation Using Individual Offender Data in Dutch Neighborhoods

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Listed:
  • Wim Bernasco

    (Netherlands Institute for the Study of Crime and Law Enforcement)

  • Thomas de Graaff

    (Vrije Universiteit Amsterdam)

  • Jan Rouwendal

    (Vrije Universiteit Amsterdam)

  • Wouter Steenbeek

    (Netherlands Institute for the Study of Crime and Law Enforcement)

Abstract

Using data on the age, sex, ethnicity, and criminal involvement of more than 14 million residents of all ages residing in approximately 4,000 Dutch neighborhoods, we test if an individual's criminal involvement is affected by the proportion of criminals living in his or her residential neighborhood. We develop a binomial discrete choice model for criminal involvement and estimate it on individual data. We control for both the endogeneity that may be related to unobserved neighborhood characteristics and for sorting behavior. We find significant social interaction effects, but our findings do not imply multiple equilibria or large multiplier effects.

Suggested Citation

  • Wim Bernasco & Thomas de Graaff & Jan Rouwendal & Wouter Steenbeek, 2017. "Social Interactions and Crime Revisited: An Investigation Using Individual Offender Data in Dutch Neighborhoods," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 622-636, July.
    • Handle: RePEc:tpr:restat:v:99:y:2017:i:4:p:622-636
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    1. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2010. "Delinquent Networks," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 34-61, March.
    2. Freeman, Scott & Grogger, Jeffrey & Sonstelie, Jon, 1996. "The Spatial Concentration of Crime," Journal of Urban Economics, Elsevier, vol. 40(2), pages 216-231, September.
    3. Antoni Calvó-Armengol & Yves Zenou, 2004. "Social Networks And Crime Decisions: The Role Of Social Structure In Facilitating Delinquent Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 939-958, August.
    4. William N. Evans & Wallace E. Oates & Robert M. Schwab & William N. Evans & Wallace E. Oates & Robert M. Schwab, 2004. "Measuring Peer Group Effects: A Study of Teenage Behavior," Chapters, in: Environmental Policy and Fiscal Federalism, chapter 13, pages 232-257, Edward Elgar Publishing.
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    Cited by:

    1. Emeline Bezin & Thierry Verdier & Yves Zenou, 2022. "Crime, Broken Families, and Punishment," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 723-760, November.
    2. Tripathi, Jai Prakash & Bugalia, Sarita & Burdak, Kavita & Abbas, Syed, 2021. "Dynamical analysis and effects of law enforcement in a social interaction model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    3. Lindquist, Matthew J. & Zenou, Yves, 2019. "Crime and Networks: 10 Policy Lessons," IZA Discussion Papers 12534, Institute of Labor Economics (IZA).
    4. van Duijn, Mark & Rouwendal, Jan, 2021. "Sorting based on urban heritage and income: Evidence from the Amsterdam metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    5. Brown, Zachary S. & Connor, Lawson & Rejesus, Roderick M. & Yorobe, Jose M., 2021. "Landscape-level feedbacks in the demand for transgenic pesticidal corn in the Philippines," Ecological Economics, Elsevier, vol. 180(C).
    6. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    7. Disney, Richard & Gathergood, John & Machin, Stephen & Sandi, Matteo, 2020. "Does homeownership reduce crime? A radical housing reform in Britain," LSE Research Online Documents on Economics 108426, London School of Economics and Political Science, LSE Library.
    8. Bernt Bratsberg & Øystein Hernæs & Simen Markussen & Oddbjørn Raaum & Knut Røed, 2019. "Welfare Activation and Youth Crime," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 561-574, October.
    9. Lin, Xu & Zhang, Jihu & Jiang, Shanhe, 2022. "Spatial and temporal correlations of crime in Detroit: Evidence from spatial dynamic panel data models," International Review of Law and Economics, Elsevier, vol. 72(C).
    10. Zhiling Wang & Thomas de Graaff & Peter Nijkamp, 2018. "Barriers of Culture, Networks, and Language in International Migration: A Review," REGION, European Regional Science Association, vol. 5, pages 73-89.
    11. Giovanni Maria Giorgi, 2019. "The Gini concentration ratio: Back to the future," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 73(2), pages 5-14, April-Jun.
    12. Richard Disney & John Gathergood & Stephen Machin & Matteo Sandi, 2023. "Does Homeownership Reduce Crime? A Radical Housing Reform from the UK," The Economic Journal, Royal Economic Society, vol. 133(655), pages 2640-2675.
    13. Sandher, Jeevun, 2022. "Familiar Faces, Worn Out Places: The Effect of Personal and Place Prosperity On Well-Being," SocArXiv am6gq, Center for Open Science.

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    More about this item

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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