What happens when a woman wins an election? Evidence from close races in Brazil 2010-2015

DOI

The project used secondary data to assess the role of women as policymakers in Brazil by analysing mayoral elections. The project focuses on two municipal administration mandates in municipalities below 200,000 voters: 2001–2004 and 2005–2008. Electoral data comes from 'Tribunal Superior Eleitoral' (Superior Electoral Court), which is the highest judicial body of the Brazilian Electoral Justice. Data on mayoral characteristics, including gender, education, political affiliation, and political experience also come from Tribunal Superior Electoral. For our analyses, we focus on races with two candidates where one candidate is a woman and the other is a man, which gives us a sample of 723 races. The project further assesses corruption differentials between male and female candidates in elections. Data on corruption come from random audits of municipal governments since 2003. For each municipality, the auditors collect documents and information starting in 2001 and prepare an audit report. Over 2,000 municipalities were audited at the time of this project. Corruption data are available for 161 races in the sample. The dataset also includes: (1) data on the number of public employees in municipalities obtained from National statistics office, (2) data on electoral campaign contributions from the electoral tribunal, and (3)data on public expenditure in the municipalities.

Assembled project data from secondary data sources in Brazil, including, the national statistics office, the electoral tribunal and municipal administrative offices.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-854207
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=2a5056cb68a75c522ea36414163822125deb225aba18736e12d2885e656f5a97
Provenance
Creator Troiano, U, University of Michigan; Brollo, F, University of Warwick
Publisher UK Data Service
Publication Year 2020
Funding Reference Economic and Social Research Council
Rights Ugo Troiano, University of Michigan. Fernanda Brollo, University of Warwick; The Data Collection is available from an external repository. Access is available via Related Resources.
OpenAccess true
Representation
Language English
Resource Type Numeric; Text
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Brazil