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Dynamic Game Of Offending And Law Enforcement: A Stochastic Extension

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  • DAVID W. K. YEUNG

    ()
    (SRS Consortium for Advanced Study in Cooperative Dynamic Games, Hong Kong Shue Yan University, Center of Game Theory, St. Petersburg State University, USA)

  • YINGXUAN ZHANG

    ()
    (Department of Urban Planning & Design, University of Hong Kong, Hong Kong)

  • PATRICIA M. YEUNG

    ()
    (Faculty of Dentistry, University of Hong Kong, Hong Kong)

  • DEMI MAK

    ()
    (Department of Criminal Justice, New Mexico State University, USA)

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    Abstract

    This article provides an extension of the Fend-Feichtinger-Tragler dynamic game of offending and law enforcement to a stochastic framework. This allows the analysis to reflect actual crime statistics which displays randomness in its distribution. Stochastic paths of crimes are derived. The asymptotic stationary distribution of crime records is also obtained.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Game Theory Review.

    Volume (Year): 12 (2010)
    Issue (Month): 04 ()
    Pages: 471-481

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    Handle: RePEc:wsi:igtrxx:v:12:y:2010:i:04:p:471-481

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    Related research

    Keywords: Economics of crime; law enforcement; stochastic differential game;

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