Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs
Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina.
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| Formato: | Tesis Tesis de grado updatedVersion |
| Lenguaje: | Inglés |
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Universidad de San Andrés. Departamento de Economía
2024
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| Acceso en línea: | http://hdl.handle.net/10908/23533 |
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I37-R143-10908-235332025-01-20T15:23:18Z Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs Mazza, Marcos Ballester Molina, Santos Ruzzier, Christian 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. 2024-01-18T19:30:38Z 2024-01-18T19:30:38Z 2023-10 Tesis info:eu-repo/semantics/bachelorThesis info:ar-repo/semantics/tesis de grado info:eu-repo/semantics/updatedVersion 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 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf application/pdf Universidad de San Andrés. Departamento de Economía |
| institution |
Universidad de San Andrés |
| institution_str |
I-37 |
| repository_str |
R-143 |
| collection |
Repositorio Digital - Universidad de San Andrés (UdeSa) |
| language |
Inglés |
| description |
Fil: Mazza, Marcos. Universidad de San Andrés. Departamento de Economía; Argentina. |
| author2 |
Ruzzier, Christian |
| author_facet |
Ruzzier, Christian Mazza, Marcos Ballester Molina, Santos |
| format |
Tesis Tesis de grado Tesis de grado updatedVersion |
| author |
Mazza, Marcos Ballester Molina, Santos |
| spellingShingle |
Mazza, Marcos Ballester Molina, Santos Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs |
| author_sort |
Mazza, Marcos |
| title |
Covid-19 & the 2020 brazilian municipal elections : heterogenous effects of the fight against the pandemic on incumbency advantage using regression discontinuity designs |
| 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 |
| publisher |
Universidad de San Andrés. Departamento de Economía |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10908/23533 |
| work_keys_str_mv |
AT mazzamarcos covid19the2020brazilianmunicipalelectionsheterogenouseffectsofthefightagainstthepandemiconincumbencyadvantageusingregressiondiscontinuitydesigns AT ballestermolinasantos covid19the2020brazilianmunicipalelectionsheterogenouseffectsofthefightagainstthepandemiconincumbencyadvantageusingregressiondiscontinuitydesigns |
| _version_ |
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