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Master's Dissertation
DOI
https://doi.org/10.11606/D.12.2004.tde-28062024-164434
Document
Author
Full name
Sérgio de Conti Macedo
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2004
Supervisor
Committee
Menezes Filho, Naercio Aquino (President)
Haddad, Eduardo Amaral
Limongi, Fernando de Magalhaes Papaterra
Title in Portuguese
Como as pessoas votam? um estudo econométrico dos determinantes do voto no município de São Paulo
Keywords in Portuguese
Econometria
Eleição municipais
São Paulo - Eleições
Abstract in Portuguese
Este trabalho busca estudar os determinantes sociais do voto nas eleições para prefeito de 1996 e 2000, realizadas no município de São Paulo. Para alcançar tal objetivo são utilizadas duas metodologias estatísticas distintas: um modelo linear simples aqui denominado Modelo de Goodman e um modelo bayesiano desenvolvido pelo cientista político Gary King. Inicialmente, são derivados os fundamentos estatísticos e matemáticos dos modelos de Goodman e de King, para que, finalmente, sejam apresentados os resultados das estimações realizadas para três variáveis demográficas no pleito de 1996 e para sete variáveis demográficas no pleito de 2000, através de mapas espaciais do município de São Paulo.
Title in English
How do people vote? an econometric study of the determinants of voting in the municipality of São Paulo
Keywords in English
Econometrics
Municipal elections
São Paulo - Elections
Abstract in English
This essay seeks to study the social determinants of the vote in the elections for mayor in the city of São Paulo that occurred in 1996 and 2000. To reach such a target, two statistical methodologies are applied: a simple classical linear model - the so called Goodman model - and a bayesian model developed by Prof. Gary King. In the first part of the essay, the statistical and mathematical foundations of these two models are presented. In the last part, the estimation results for three social variables in the 1996 election and seven social variables in the 2000 election are presented. The estimated parameters are presented in the form of spatial maps.
 
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Publishing Date
2024-06-28
 
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