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Caltech Authors (California Institute of Technology)
Report . 2017
Data sources: Bielefeld Academic Search Engine (BASE)
https://dx.doi.org/10.7907/mkc...
Research . 1995
Data sources: Datacite
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A Comparison of Political Institutions in a Tiebout Model

descriptionPublicationkeyboard_double_arrow_right Research , Report 01 Jan 1995 United States Publisher:California Institute of Technology
Authors: Page, Scott E.; Kollman, Ken; Miller, John H.;

doi: 10.7907/mkce4-2tg22

A Comparison of Political Institutions in a Tiebout Model

Abstract

In this paper, we construct a computational model of Tiebout competition. We show that the notion that Tiebout competition, as a result of enforcing efficiency, renders institutional arrangements unimportant does not preclude the possibility that political institutions may differ in their ability to sort citizens. In particular, institutions which perform poorly given a single location, may perform better when there are multiple locations because they allow for improved sorting. We demonstrate that insights from simulated annealing, a discrete nonlinear search algorithm, may explain this improvement.

Also known as SFI WORKING PAPER: 1995-04-045

Submitted - sswp926.pdf

Country
United States
Related Organizations
Keywords

Competition, Computational Models, Political Institutions., Political Institutions, Competition, 330, Computational Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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