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Forecasting elections in a multiparty system : the case of Portugal and Brazil

dc.contributor.advisorPaulo, Rui
dc.contributor.authorRawicz, Fernando Carlos Araújo
dc.date.accessioned2022-04-22T12:35:54Z
dc.date.available2022-04-22T12:35:54Z
dc.date.issued2022-01
dc.descriptionMestrado Bolonha em Econometria Aplicada e Previsãopt_PT
dc.description.abstractThis work tries to forecast election results in Brazil and Portugal using two bayesian models and one frequentist in order to find out which one has better results. We will use older election‘s results and polls in order to check if there are sistematical biases towards certain parties. We also use macroeconomical data to check how influential this data is to forecast election. The analysis pointed out that there are no sistematical biases for any party in any polling company. We also found out that there is no significant relationship between macroeconomic data and the election results in these countries. Furthermore, the fact that both examples had few elections and have a lot of parties which are constantly being created and dismissed, there is not a "perfect" model, however, they all have very acceptable results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRawicz, Fernando Carlos Araújo (2022). "Forecasting elections in a multiparty system : the case of Portugal and Brazil". Dissertação de Mestrado, Universidade de Lisboa. Instituto Superior de Economia e Gestão.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/24143
dc.language.isoengpt_PT
dc.publisherInstituto Superior de Economia e Gestãopt_PT
dc.subjectElectionspt_PT
dc.subjectForecastingpt_PT
dc.subjectBayesianpt_PT
dc.subjectPortugalpt_PT
dc.subjectBrazilpt_PT
dc.titleForecasting elections in a multiparty system : the case of Portugal and Brazilpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT

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