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Spatial Approval Voting

Published online by Cambridge University Press:  04 January 2017

Jean-François Laslier
Jean-François Laslier*
Affiliation:
CNRS and École polytechnique, Laboratoire d'Économetrie, 1 rue Descartes, 75005 Paris. e-mail: laslier@shs.polytechnique.fr
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Abstract

This article provides a model for analyzing approval voting elections. Within a standard probabilistic spatial voting setting, we show that principal component analysis makes it possible to derive candidates' relative locations from the approval votes. We apply this technique to original experimental data from the French 2002 presidential election.

Type
Research Article
Information
Political Analysis , Volume 14 , Issue 2 , Spring 2006 , pp. 160 - 185
Copyright
Copyright © The Author 2005. Published by Oxford University Press on behalf of the Society for Political Methodology 

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Supplementary Material

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Laslier Supplementary Material

Supplementary Material

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Supplementary material: File

Laslier Supplementary Material

Supplementary Material

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