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  5. Exploring Voting Blocs Within the Irish Electorate: A Mixture Modeling Approach
 
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Exploring Voting Blocs Within the Irish Electorate: A Mixture Modeling Approach

Author(s)
Gormley, Isobel Claire  
Murphy, Thomas Brendan  
Uri
http://hdl.handle.net/10197/7122
Date Issued
2008-09
Date Available
2015-09-25T15:44:26Z
Abstract
Irish elections use a voting system called proportion representation by means of a single transferable vote(PR-STV). Under this system, voters express their vote by ranking some (or all) of the candidates in order of preference. Which candidates are elected is determined through a series of counts where candidates are eliminated and surplus votes are distributed.The electorate in any election forms a heterogeneous population: that is voters with different political and ideological persuasions would be expected to have different preferences for the candidates. The purpose of this article is to establish the presence of voting bloes in the Irish electorate, to characterize these blocs and to estimate their size.A mixture modeling approach is used to explore the heterogenecity of the Irish electorate and to establish the existence of clearly defined voting blocs. The voting blocs are characterized by thier voting preferences which are described using a ranking data model. In addition the care with which voters choose lower tier preferences is estimated in the model.The methodology is used to explore data from two Irish election. Data from eight opinion polls taken during the six weeks prior to the 1997 Irish presidential election are analyzed. These data reveal the evolution of the structure of the electorate during the election campaign. In addition data that record the votes from the Dublin West constituency of the 2002 Irish general election are analyzed to reveal distinct voting blocs within the electoate these blocs are characterized by party politics, candidate profile and political ideology.
Sponsorship
Irish Research Council for Science, Engineering and Technology
Other Sponsorship
National Institutes of Health (NIH)
Type of Material
Journal Article
Publisher
Taylor and Francis
Journal
Journal of the American Statistical Association
Volume
103
Issue
483
Start Page
1014
End Page
1027
Copyright (Published Version)
2008 American Statistical Association
Subjects

Elections

Mixture models

Ranking data

Voting blocs

Maximum-likelihood

MM algorithms

DOI
10.1198/016214507000001049
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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irishpref-march07.pdf

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253.6 KB

Format

Adobe PDF

Checksum (MD5)

560291c2600dad5bcdfe2447a2606063

Owning collection
Mathematics and Statistics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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