Use este identificador para citar ou linkar para este item: https://repositorio.insper.edu.br/handle/11224/3861
Tipo de Documento: Tese
Título: Electoral competition and platform choice: a computational linguistics approach based on Brazilian data
Autor: Pereira, Leila Albuquerque Rocha
Banca examinadora: Novaes, Lucas Martins
Corbi, Raphael Bottura
Estevan, Fernanda Gonçalves de La Fuente
Bueno, Natália Salgado
Orientador: Firpo, Sergio Pinheiro
Nível da titulação acadêmica: Doutorado
Data da publicação: 2021
Resumo em inglês: This dissertation empirically investigates some valuable aspects of the electoral competition theories by taking advantage of computational linguistic methods that transform texts into data. I start by employing statistical text analysis methods (i.e., LDA model and Wordscores) to build and describe a unique dataset containing the topics discussed and the partisan-scores of Brazilian mayoral candidates' political platforms in 2012 and 2016 elections. Then, I use this dataset to test some theoretical implications of both the Downsian location models and the Salience Theory. From a Downsian perspective, I investigate the relationship between campaign spending and platform choice by testing whether a candidate's platform positioning strategy, compared to her opponent, is infuenced by the amount of money she can spend in an election. Then, from a Salience Theory perspective, I analyze the relationship between reputation and platform choice by estimating the incumbency effect on a candidate's platform issue concentration. In a nutshell, I find that candidates seem to be making strategic decisions concerning their platform's contents and partisan leaning. The data's descriptive analysis shows a systematic correlation between the candidate's characteristics and her platform's contents. Moreover, the empirical evidence supports the theories that connect platform choice to reputation but not the theories that establish a link between platform choice and campaign spending. In particular, I find that opposing candidates' strategies to diferentiate their platforms do not change significantly depending on the size of their campaign expenditures. Furthermore, I show that incumbents tend to produce more concentrated platforms than challengers.
Keywords (termos em inglês): Electoral competition
political platforms
Downsian Models
Salience theory
natural language processing
Latent Dirichlet Allocation
wordscore
discontinuos regression
Idioma principal: Inglês
Area do CNPq: Ciências Sociais Aplicadas
Licença de uso: O INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR
Aparece nas coleções:Doutorado em Economia dos Negócios

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