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On the Evolutionary Dynamics of Crime

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  • Ross Cressman
  • Jean-Francois Wen
  • William Morrison

Abstract

In this paper, the authors examine the economics of crime deterrence from an evolutionary perspective. A bimatrix game is used to model the interaction between populations of property owners and (potential) criminals, given exogenous levels of public policing and criminal sanctions. A crucial element in the authors' analysis is the private effort property owners exert to prevent theft. The dynamics show that the crime rate is cyclical over time and the average crime rate over the cycle is invariant to the magnitude of criminal sanctions. Furthermore, increased public policing raises the average crime rate until a threshold level of policing is reached where the crime rate falls.

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Bibliographic Info

Article provided by Canadian Economics Association in its journal Canadian Journal of Economics.

Volume (Year): 31 (1998)
Issue (Month): 5 (November)
Pages: 1101-1117

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Handle: RePEc:cje:issued:v:31:y:1998:i:5:p:1101-1117

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Cited by:
  1. Shahi, Chander & Kant, Shashi, 2007. "An evolutionary game-theoretic approach to the strategies of community members under Joint Forest Management regime," Forest Policy and Economics, Elsevier, vol. 9(7), pages 763-775, April.
  2. Barreira da Silva Rocha, André, 2013. "Evolutionary dynamics of nationalism and migration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3183-3197.
  3. Lipatov, Vilen, 2003. "Evolution of Tax Evasion," MPRA Paper 966, University Library of Munich, Germany, revised 06 Dec 2005.
  4. GholamReza Keshavarz Haddad & Hamed Markazi Moghadam, 2011. "The socioeconomic and demographic determinants of crime in Iran (a regional panel study)," European Journal of Law and Economics, Springer, vol. 32(1), pages 99-114, August.
  5. Lipatov, Vilen, 2008. "Social Interaction in Tax Evasion," MPRA Paper 8829, University Library of Munich, Germany.
  6. Andre Barreira da Silva Rocha, 2010. "An Evolutionary Game Approach to the Issues of Migration, Nationalism, Assimilation and Enclaves," Economics Discussion Papers 694, University of Essex, Department of Economics.
  7. Eaton, B.Curtis & Wen, Jean-François, 2008. "Myopic deterrence policies and the instability of equilibria," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 609-624, March.
  8. Arce, Daniel G., 2010. "Corporate virtue: Treatment of whistle blowers and the punishment of violators," European Journal of Political Economy, Elsevier, vol. 26(3), pages 363-371, September.
  9. André Barreira da Silva Rocha, 2013. "An Evolutionary Game for the Issues of Social Investment, Environmental Compliance and Consumer Boycott," Discussion Papers in Economics 13/17, Department of Economics, University of Leicester.
  10. Werner Güth & Hartmut Kliemt & Bezalel Peleg, 2000. "Co-evolution of Preferences and Information in Simple Games of Trust," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 83-110, 02.
  11. Wilson, Dennis P., 2005. "Additional law enforcement as a deterrent to criminal behavior: empirical evidence from the National Hockey League," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 34(3), pages 319-330, May.
  12. André Barreira da Silva Rocha & Annick Laruelle & Peio Zuazo, 2012. "Replicator Dynamics and Evolutionary Stable Strategies in Heterogeneous Games," Discussion Papers in Economics 11/54, Department of Economics, University of Leicester.
  13. Luciano Andreozzi, 2008. "Inspection games with long-run inspectors," Department of Economics Working Papers 0821, Department of Economics, University of Trento, Italia.

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