DYNAMIC GAME OF OFFENDING AND LAW ENFORCEMENT: A STOCHASTIC EXTENSION

David W. K. Yeung (), Yingxuan Zhang (), Patricia M. Yeung () and Demi Mak ()
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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

International Game Theory Review (IGTR), 2010, vol. 12, issue 04, 471-481

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.

Keywords: Economics of crime; law enforcement; stochastic differential game (search for similar items in EconPapers)
JEL-codes: B4 C0 C6 C7 D5 D7 M2 (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1142/S0219198910002787

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