Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
dc.contributor.Mentor | Ruzzier, Christian | |
dc.creator.Autor | Mazza, Marcos | |
dc.creator.Autor | Ballester Molina, Santos | |
dc.date.accessioned | 2024-01-18T19:30:38Z | |
dc.date.available | 2024-01-18T19:30:38Z | |
dc.date.issued | 2023-10 | |
dc.description | Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina. | |
dc.description | Fil: Ballester Molina, Santos. Universidad de San Andrés. Departamento de Economía; Argentina. | |
dc.description.abstract | This thesis explores the impact of the fight against the Covid-19 pandemic on incumbency advantage in the 2020 Brazilian municipal elections. We propose regression discontinuity models for more than 5,000 municipalities in Brazil to estimate the incumbency effect, drawing from methodologies used in Brazilian municipal and U.S. congressional elections and then model the interactions of the health variables on the treatment effect. Despite the unprecedented circumstances, our results show no significant impact on incumbency advantage and no impact of health variables on incumbency. | |
dc.format | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/10908/23533 | |
dc.language | eng | |
dc.publisher | Universidad de San Andrés. Departamento de Economía | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs | |
dc.type | Tesis | |
dc.type | info:eu-repo/semantics/bachelorThesis | |
dc.type | info:ar-repo/semantics/tesis de grado | |
dc.type | info:eu-repo/semantics/updatedVersion |
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