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Local Determinants of Crime: Distinguishing Between Resident and Non-resident Offenders

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  • Spengler, Hannes
  • Büttner, Thiess

Abstract

The paper revisits the local determinants of crime using a spatial model distinguishing between resident and non-resident offenders. Employing data for German municipalities, the model is estimated by means of a spatial GMM approach. Focusing on resident offenders legal earnings opportunities and the expected gain from offenses are found to be important determinants of crime. Also the socio-economic background in terms of unemployment, poverty, and inequality proves significant for both property and violent crime. Whereas local inequality only shows an effect on crime committed by resident offenders, crime committed by non-resident offenders is shown to be significantly related to the characteristics in adjacent municipalities such as unemployment and income.

Suggested Citation

  • Spengler, Hannes & Büttner, Thiess, 2003. "Local Determinants of Crime: Distinguishing Between Resident and Non-resident Offenders," ZEW Discussion Papers 03-13, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:958
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    References listed on IDEAS

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    Cited by:

    1. Khalil, Umair, 2017. "Do more guns lead to more crime? Understanding the role of illegal firearms," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 342-361.
    2. Jeremy Porter, 2012. "Religion and politics: understanding the effects of conservative origins on contemporary patterns of sub-national relative human development," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1359-1376, August.
    3. Jeremy Porter, 2012. "A Simplified Indicator of Social Well-Being in the United States: Examining the Ecological Impact of Family Formation within a County Level Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(3), pages 421-440, September.
    4. Rosetta Lombardo & Marianna Falcone, 2011. "Crime And Economic Performance. A Cluster Analysis Of Panel Data On Italy'S Nuts 3 Regions," Working Papers 201112, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    5. Entorf, H. & Winker, P., 2008. "Investigating the drugs-crime channel in economics of crime models: Empirical evidence from panel data of the German States," International Review of Law and Economics, Elsevier, vol. 28(1), pages 8-22, March.
    6. Traub, Stefan, 2006. "The Provision of Local Public Services in a Risky Environment: An Application to Crime," Economics Working Papers 2006-03, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Arye Rattner & Boris Portnov, 2007. "Distance decay function in criminal behavior: a case of Israel," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 673-688, September.
    8. Lauridsen, Jorgen, 2010. "Is Polish Crime Economically Rational?," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 40(2).
    9. Lauridsen, Jørgen T. & Zeren, Fatma & Ari, Ay?E, 2015. "Is Crime in Turkey Economically Rational?/¿Es económicamente racional el crimen en Turquía?," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 37-52, Enero.
    10. Lauridsen, Jørgen T. & Zeren, Fatma & Ari, Ayse, 2014. "Is crime in Turkey economically rational?," Discussion Papers of Business and Economics 3/2014, University of Southern Denmark, Department of Business and Economics.
    11. Vujić Sunčica & Koopman Siem Jan & Commandeur J.F., 2012. "Economic Trends and Cycles in Crime: A Study for England and Wales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(6), pages 652-677, December.
    12. Halicioglu, Ferda & Andrés, Antonio R. & Yamamura, Eiji, 2012. "Modeling crime in Japan," Economic Modelling, Elsevier, vol. 29(5), pages 1640-1645.

    More about this item

    JEL classification:

    • R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J19 - Labor and Demographic Economics - - Demographic Economics - - - Other
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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