Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs

Autores
Mazza, Marcos; Ballester Molina, Santos
Año de publicación
2023
Idioma
inglés
Tipo de recurso
tesis de grado
Estado
versión corregida
Colaborador/a o director/a de tesis
Ruzzier, Christian
Descripción
Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina.
Fil: Ballester Molina, Santos. Universidad de San Andrés. Departamento de Economía; Argentina.
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.
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
Repositorio Digital San Andrés (UdeSa)
Institución
Universidad de San Andrés
OAI Identificador
oai:repositorio.udesa.edu.ar:10908/23533
Acceder
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spelling Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designsMazza, MarcosBallester Molina, SantosFil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina.Fil: Ballester Molina, Santos. Universidad de San Andrés. Departamento de Economía; Argentina.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.Universidad de San Andrés. Departamento de EconomíaRuzzier, Christian2024-01-18T19:30:38Z2024-01-18T19:30:38Z2023-10Tesisinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/updatedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:ar-repo/semantics/tesisDeGradoapplication/pdfapplication/pdfMazza, M. y Ballester Molina, S. (2022). Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs. [Tesis de grado, Universidad de San Andrés. Departamento de Economía]. Repositorio Digital San Andrés. http://hdl.handle.net/10908/23533http://hdl.handle.net/10908/23533enginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/reponame:Repositorio Digital San Andrés (UdeSa)instname:Universidad de San Andrés2026-01-08T11:20:08Zoai:repositorio.udesa.edu.ar:10908/23533instacron:Universidad de San AndrésInstitucionalhttp://repositorio.udesa.edu.ar/jspui/Universidad privadaNo correspondehttp://repositorio.udesa.edu.ar/oai/requestmsanroman@udesa.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:23632026-01-08 11:20:09.104Repositorio Digital San Andrés (UdeSa) - Universidad de San Andrésfalse
dc.title.none.fl_str_mv Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
title Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
spellingShingle Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
Mazza, Marcos
title_short Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
title_full Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
title_fullStr Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
title_full_unstemmed Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
title_sort Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
dc.creator.none.fl_str_mv Mazza, Marcos
Ballester Molina, Santos
author Mazza, Marcos
author_facet Mazza, Marcos
Ballester Molina, Santos
author_role author
author2 Ballester Molina, Santos
author2_role author
dc.contributor.none.fl_str_mv Ruzzier, Christian
dc.description.none.fl_txt_mv Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina.
Fil: Ballester Molina, Santos. Universidad de San Andrés. Departamento de Economía; Argentina.
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.
description Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
2024-01-18T19:30:38Z
2024-01-18T19:30:38Z
dc.type.none.fl_str_mv Tesis
info:eu-repo/semantics/bachelorThesis
info:eu-repo/semantics/updatedVersion
http://purl.org/coar/resource_type/c_7a1f
info:ar-repo/semantics/tesisDeGrado
format bachelorThesis
status_str updatedVersion
dc.identifier.none.fl_str_mv Mazza, M. y Ballester Molina, S. (2022). Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs. [Tesis de grado, Universidad de San Andrés. Departamento de Economía]. Repositorio Digital San Andrés. http://hdl.handle.net/10908/23533
http://hdl.handle.net/10908/23533
identifier_str_mv Mazza, M. y Ballester Molina, S. (2022). Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs. [Tesis de grado, Universidad de San Andrés. Departamento de Economía]. Repositorio Digital San Andrés. http://hdl.handle.net/10908/23533
url http://hdl.handle.net/10908/23533
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad de San Andrés. Departamento de Economía
publisher.none.fl_str_mv Universidad de San Andrés. Departamento de Economía
dc.source.none.fl_str_mv reponame:Repositorio Digital San Andrés (UdeSa)
instname:Universidad de San Andrés
reponame_str Repositorio Digital San Andrés (UdeSa)
collection Repositorio Digital San Andrés (UdeSa)
instname_str Universidad de San Andrés
repository.name.fl_str_mv Repositorio Digital San Andrés (UdeSa) - Universidad de San Andrés
repository.mail.fl_str_mv msanroman@udesa.edu.ar
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score 13.113929

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