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

Michael Makowsky

No 91, Computing in Economics and Finance 2005 from Society for Computational Economics

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.

Keywords: Agent-based modeling; urban geography; crime (search for similar items in EconPapers)
JEL-codes: J24 K42 R0 (search for similar items in EconPapers)
Date: 2005-11-11
New Economics Papers: this item is included in nep-cmp, nep-geo, nep-law and nep-ure
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http://repec.org/sce2005/up.30238.1106342774.pdf (application/pdf)

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Journal Article: An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf5:91

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