Nguyen, T.H.A, Laurent, Thibault, Thomas-Agnan, Christine and Ruiz-Gazen, Anne (2018) Analyzing the impacts of socio-economic factors on French departmental elections with CODA methods. TSE Working Paper, n. 18-961, Toulouse

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Abstract

The proportions of votes 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 proportions and study the impact of the characteristics of the territorial units on the outcome of the elections. In the political economy literature, such regression models are generally restricted to the case of two political parties. In the statistical literature, there are regression models adapted to share vectors including CODA models (for COmpositional Data Analysis), but also Dirichlet models, Student models and others. Our goal is to use CODA regression models to generalize political economy models to more than two parties. The models are _tted on French electoral data of the 2015 departmental elections.

Item Type: Monograph (Working Paper)
Language: English
Date: October 2018
Place of Publication: Toulouse
Uncontrolled Keywords: political economy, compositional regression models
JEL Classification: C46 - Specific Distributions; Specific Statistics
D72 - Economic Models of Political Processes - Rent-Seeking, Elections, Legislatures, and Voting Behavior
P16 - Political Economy
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 24 Oct 2018 08:52
Last Modified: 02 Apr 2021 15:58
OAI Identifier: oai:tse-fr.eu:33005
URI: https://publications.ut-capitole.fr/id/eprint/26314

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