A standard form of citation of this article is:
Makowsky, Michael (2006). 'An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime'. Journal of Artificial Societies and Social Simulation 9(2)7 <https://www.jasss.org/9/2/7.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{makowsky2006,
title = {An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime},
author = {Makowsky, Michael},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {2},
pages = {7},
year = {2006},
URL = {https://www.jasss.org/9/2/7.html},
keywords = {Agent-Based Model, Crime, Bounded Rationality, Life Expectancy, Rational Choice},
abstract = {Rational criminals choose crime over lawfulness because it pays better; hence poverty correlates to criminal behavior. This correlation is an insufficient historical explanation. An agent-based model of urban crime, mortality, and exogenous population shocks supplements the standard economic story, closing the gap with an empirical reality that often breaks from trend. Agent decision making within the model is built around a career maximization function, with life expectancy as the key independent variable. Rational choice takes the form of a local information heuristic, resulting in subjectively rational suboptimal decision making. The effects of population shocks are explored using the Crime and Mortality Simulation (CAMSIM), with effects demonstrated to persist across generations. Past social trauma are found to lead to higher crime rates which subsequently decline as the effect degrades, though 'aftershocks' are often experienced.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime
AU - Makowsky, Michael
Y1 - 2006/03/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 2
SP - 7
UR - https://www.jasss.org/9/2/7.html
KW - Agent-Based Model
KW - Crime
KW - Bounded Rationality
KW - Life Expectancy
KW - Rational Choice
N2 - Rational criminals choose crime over lawfulness because it pays better; hence poverty correlates to criminal behavior. This correlation is an insufficient historical explanation. An agent-based model of urban crime, mortality, and exogenous population shocks supplements the standard economic story, closing the gap with an empirical reality that often breaks from trend. Agent decision making within the model is built around a career maximization function, with life expectancy as the key independent variable. Rational choice takes the form of a local information heuristic, resulting in subjectively rational suboptimal decision making. The effects of population shocks are explored using the Crime and Mortality Simulation (CAMSIM), with effects demonstrated to persist across generations. Past social trauma are found to lead to higher crime rates which subsequently decline as the effect degrades, though 'aftershocks' are often experienced.
ER -