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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2020.1858274
|2 doi
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|a eng
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| 100 |
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|a Nguyen, T H A
|e verfasserin
|4 aut
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|a Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Revised 26.08.2024
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2020 Informa UK Limited, trading as Taylor & Francis Group.
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|a The vote shares by party on a given subdivision of a territory form a vector called composition (mathematically, a vector belonging to a simplex). It is interesting to model these shares and study the impact of the characteristics of the territorial units on the outcome of the elections. In the political economy literature, few regression models are adapted to the case of more than two political parties. In the statistical literature, there are regression models adapted to share vectors including Compositional Data (CoDa) models, but also Dirichlet models, and others. Our goal is to discuss and illustrate the use CoDa regression models for political economy models for more than two parties. The models are fitted on French electoral data of the 2015 departmental elections
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|a Journal Article
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|a French departmental election
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|a Gaussian distribution
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|a Political economy
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| 650 |
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|a compositional regression models
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| 650 |
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|a multiparty
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| 650 |
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4 |
|a vote shares
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| 700 |
1 |
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|a Laurent, T
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Thomas-Agnan, C
|e verfasserin
|4 aut
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| 700 |
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|a Ruiz-Gazen, A
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 49(2022), 5 vom: 01., Seite 1235-1251
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|x 0266-4763
|7 nnns
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|g volume:49
|g year:2022
|g number:5
|g day:01
|g pages:1235-1251
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|u http://dx.doi.org/10.1080/02664763.2020.1858274
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