Agent-based modeling and dynamic analysis of accident law

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Authors
Seagren, Chad W.
Advisors
Second Readers
Subjects
law & economic
accident law
agent-based modeling
evolutionary economics
Date of Issue
2013-07-12
Date
Publisher
Monterey, California, Naval Postgraduate School
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Abstract
I employ an agent-based computational model to gain insights regarding relationships that are often overlooked in neoclassical theorizing. I consider the situation faced by the inhabitants of Eggtopia, a fictious society whose members search for and collect precious eggs. In the course of their productive efforts they occasionally experience destructuve accidents with other individuals. The inhabitants face trade-offs in that engaging in behavior that inceases their productivity may also increase the possiblity of an accident. I demonstrate how the agent-based model developed in this paper can be used to answer the questions commonly addressed in the mainstream literature, while also opening up new avenues of investigation. While certain outcomes are consistent with neoclassical theory. I find that agents may elect to be careful even when the neoclassical theory predicts otherwise, and particular negligence rules tend to differ significantly in their ability to rid society of negligent behavior.
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Article
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Draft only - not for attribution
Additional electronic copy available at http://ssrn.com/abstract=1641433
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Department
Operations Research
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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