A Replication and Analysis of Tiebout Competition Using an Agent-Based Computational Model
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Authors
Seagren, Chad W.
Subjects
tiebout competition
agent-based modeling
voting behavior
local government
agent-based modeling
voting behavior
local government
Advisors
Date of Issue
2015
Date
Publisher
SAGE
Language
Abstract
Replication is a critical element of the scientific process. This article is an effort to contribute to the slowly growing literature concerning the replication of agent-based computational models. We present a replication of Kollman, Miller, and Page’s model of Tiebout sorting. In that model, individual agents with heterogeneous preferences for government policies select among jurisdic- tions that offer the most satisfactory package of government services. This project makes three contributions to the literature. First, our successful replication provides the research community with a modernized version of that seminal model. Second, we confirm that earlier results with respect to the single jurisdiction setting are highly robust with respect to voter preferences, while the results for multiple jurisdiction settings are more sensitive. Finally, we demonstrate a tech- nique for conducting sensitivity analyses that leverages a high-dimensional experimental design.
Type
Article
Description
The article of record as published may be found at https://doi.org/10.1177/0894439314534810
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Seagren, Chad W. "A replication and analysis of tiebout competition using an agent-based computational model." Social Science Computer Review 33.2 (2015): 198-216.
Distribution Statement
Rights
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.