Estimativa da migração de eleitores e localização de coalizões políticas usando a máxima entropia generalizada. Evidências no Chile (2001-2013)

Ricardo Troncoso Sepúlveda; Claudio Parés Bengoechea

doi:10.15446/cuad.econ.v37n74.60267

Estimativa da migração de eleitores e localização de coalizões políticas usando a máxima entropia generalizada. Evidências no Chile (2001-2013)

Translated title of the contribution: Estimating voter migration and the location of political coalitions using generalized maximum entropy. Evidence from Chile (2001-2013)

Ricardo Troncoso Sepúlveda
, Claudio Parés Bengoechea

Research output: Contribution to Journal › Research Article › peer-review

1 Scopus citations

Abstract

The aim of this paper is to estimate voter migration patterns and the location of coalitions in a two-dimensional policy space within the framework of the Chilean parliamentary elections between 2001-2013. To do this, we use the generalized maximum entropy method, which allows us to estimate migration patterns from aggregated election data. Results show that there is high voter volatility, turnout plays a role, and there is some consistency in where coalitions are located from one election period to another.

Translated title of the contribution	Estimating voter migration and the location of political coalitions using generalized maximum entropy. Evidence from Chile (2001-2013)
Original language	Spanish
Pages (from-to)	495-522
Number of pages	28
Journal	Cuadernos de Economia (Colombia)
Volume	37
Issue number	74
DOIs	https://doi.org/10.15446/cuad.econ.v37n74.60267
State	Published - Jan 1 2018
Externally published	Yes

All Science Journal Classification (ASJC) codes

Arts and Humanities (miscellaneous)
Social Sciences (miscellaneous)
Economics, Econometrics and Finance(all)

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10.15446/cuad.econ.v37n74.60267

Cite this

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title = "Estimativa da migra{\c c}{\~a}o de eleitores e localiza{\c c}{\~a}o de coaliz{\~o}es pol{\'i}ticas usando a m{\'a}xima entropia generalizada. Evid{\^e}ncias no Chile (2001-2013)",

abstract = "The aim of this paper is to estimate voter migration patterns and the location of coalitions in a two-dimensional policy space within the framework of the Chilean parliamentary elections between 2001-2013. To do this, we use the generalized maximum entropy method, which allows us to estimate migration patterns from aggregated election data. Results show that there is high voter volatility, turnout plays a role, and there is some consistency in where coalitions are located from one election period to another.",

author = "Sep{\'u}lveda, \{Ricardo Troncoso\} and Bengoechea, \{Claudio Par{\'e}s\}",

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doi = "10.15446/cuad.econ.v37n74.60267",

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journal = "Cuadernos de Economia (Colombia)",

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AU - Sepúlveda, Ricardo Troncoso

AU - Bengoechea, Claudio Parés

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The aim of this paper is to estimate voter migration patterns and the location of coalitions in a two-dimensional policy space within the framework of the Chilean parliamentary elections between 2001-2013. To do this, we use the generalized maximum entropy method, which allows us to estimate migration patterns from aggregated election data. Results show that there is high voter volatility, turnout plays a role, and there is some consistency in where coalitions are located from one election period to another.

AB - The aim of this paper is to estimate voter migration patterns and the location of coalitions in a two-dimensional policy space within the framework of the Chilean parliamentary elections between 2001-2013. To do this, we use the generalized maximum entropy method, which allows us to estimate migration patterns from aggregated election data. Results show that there is high voter volatility, turnout plays a role, and there is some consistency in where coalitions are located from one election period to another.

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ER -

Estimativa da migração de eleitores e localização de coalizões políticas usando a máxima entropia generalizada. Evidências no Chile (2001-2013)

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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