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The Mathematics and Statistics of Voting Power

Gelman, Andrew and Katz, Jonathan N. and Tuerlinckx, Francis (2002) The Mathematics and Statistics of Voting Power. Statistical Science, 17 (4). pp. 420-435. ISSN 0883-4237. https://resolver.caltech.edu/CaltechAUTHORS:20140314-120456380

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Abstract

In an election, voting power—the probability that a single vote is decisive—is affected by the rule for aggregating votes into a single outcome. Voting power is important for studying political representation, fairness and strategy, and has been much discussed in political science. Although power indexes are often considered as mathematical definitions, they ultimately depend on statistical models of voting. Mathematical calculations of voting power usually have been performed under the model that votes are decided by coin flips. This simple model has interesting implications for weighted elections, two-stage elections (such as the U.S. Electoral College) and coalition structures. We discuss empirical failings of the coin-flip model of voting and consider, first, the implications for voting power and, second, ways in which votes could be modeled more realistically. Under the random voting model, the standard deviation of the average of n votes is proportional to 1/√n, but under more general models, this variance can have the form cn^(−α) or √a−b log n. Voting power calculations undermore realistic models present research challenges in modeling and computation.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://projecteuclid.org/euclid.ss/1049993201PublisherArticle
ORCID:
AuthorORCID
Katz, Jonathan N.0000-0002-5287-3503
Additional Information:© 2002 Institute of Mathematical Statistics. We thank Yuval Peres for alerting us to the Ising model on trees described in Section 5.1 and suggesting its application to votes. We also thank Peter Dodds, Amit Gandhi, Hal Stern, Jan Vecer, Tian Zheng and two referees for helpful discussions and comments. This work was supported in part by NSF Grants SES- 9987748 and SES-0084368.
Funders:
Funding AgencyGrant Number
NSFSES-9987748
NSFSES-0084368
Subject Keywords:Banzhaf index; decisive vote; elections; electoral college; Ising model; political science; random walk; trees
Issue or Number:4
Record Number:CaltechAUTHORS:20140314-120456380
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140314-120456380
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44332
Collection:CaltechAUTHORS
Deposited By: Jonathan Katz
Deposited On:17 Mar 2014 16:17
Last Modified:19 Nov 2020 18:31

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