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An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime

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  • Michael D. Makowsky

    (Economics George Mason University)

Abstract

This paper presents an agent-based model of urban crime, mortality, and exogenous population shocks. Agent decision making is built around a career maximization function, with life expectancy as the key independent variable. Individual rationality is bounded by locally held information, creating a strong delineation between an objective and subjective reality. The effects of population shocks are explored using the Crime and Mortality Simulation (CAMSIM), with effects demonstrated to persist across generations. The potential for social simulation as a tool for the integration of theory across multiple disciplines is explored. CAMSIM is available via the web for future research by modelers and other social scientists.

Suggested Citation

  • Michael D. Makowsky, 2005. "An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime," Computing in Economics and Finance 2005 91, Society for Computational Economics.
    • Handle: RePEc:sce:scecf5:91
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    Cited by:

    1. Maria Fonoberova & Vladimir A. Fonoberov & Igor Mezic & Jadranka Mezic & P. Jeffrey Brantingham, 2012. "Nonlinear Dynamics of Crime and Violence in Urban Settings," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-2.

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    More about this item

    Keywords

    Agent-based modeling; urban geography; crime;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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