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The Dynamics Of Crime And Punishment

Author

Listed:
  • KJELL HAUSKEN

    (Faculty of Social Sciences, University of Stavanger, N-4036 Stavanger, Norway)

  • JOHN F. MOXNES

    (Department for Protection, Norwegian Defence Research Establishment, P. O. Box 25, 2007 Kjeller, Norway)

Abstract

This article analyzes crime development which is one of the largest threats in today's world, frequently referred to as the war on crime. The criminal commits crimes in his free time (when not in jail) according to a non-stationary Poisson process which accounts for fluctuations. Expected values and variances for crime development are determined. The deterrent effect of imprisonment follows from the amount of time in imprisonment. Each criminal maximizes expected utility defined as expected benefit (from crime) minus expected cost (imprisonment). A first-order differential equation of the criminal's utility-maximizing response to the given punishment policy is then developed. The analysis shows that if imprisonment is absent, criminal activity grows substantially. All else being equal, any equilibrium is unstable (labile), implying growth of criminal activity, unless imprisonment increases sufficiently as a function of criminal activity. This dynamic approach or perspective is quite interesting and has to our knowledge not been presented earlier. The empirical data material for crime intensity and imprisonment for Norway, England and Wales, and the US supports the model. Future crime development is shown to depend strongly on the societally chosen imprisonment policy. The model is intended as a valuable tool for policy makers who can envision arbitrarily sophisticated imprisonment functions and foresee the impact they have on crime development.

Suggested Citation

  • Kjell Hausken & John F. Moxnes, 2005. "The Dynamics Of Crime And Punishment," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(11), pages 1701-1732.
  • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:11:n:s0129183105008229
    DOI: 10.1142/S0129183105008229
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    Citations

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    Cited by:

    1. Cheng‐Kuang Wu & Yi‐Ming Chen & Dachrahn Wu & Ching‐Lin Chi, 2020. "A Game Theory Approach for Assessment of Risk and Deployment of Police Patrols in Response to Criminal Activity in San Francisco," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 534-549, March.
    2. Shuying Li & Jun Zhuang & Shifei Shen, 2017. "Dynamic Forecasting Conditional Probability of Bombing Attacks Based on Time‐Series and Intervention Analysis," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1287-1297, July.
    3. Guizhou Wang & Kjell Hausken, 2021. "Governmental Taxation of Households Choosing between a National Currency and a Cryptocurrency," Games, MDPI, vol. 12(2), pages 1-24, April.

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