Name File Type Size Last Modified
  Code 06/02/2021 04:59:PM
  Input 06/02/2021 04:59:PM
  Output 06/02/2021 04:59:PM
  Source 06/02/2021 05:00:PM
Readme.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 13.9 KB 06/02/2021 12:59:PM

Project Citation: 

Le Barbanchon, Thomas, and Sauvagnat, Julien. Electoral Competition, Voter Bias, and Women in politics. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-06-04. https://doi.org/10.3886/E141781V1

Project Description

Summary:  View help for Summary We quantify the implications of voter bias and electoral competition for politicians' gender composition. Unfavorable voters' attitudes towards women and local gender earnings gap correlate negatively with the share of female candidates in Parliamentary elections. Using within-candidate variation across the different polling stations of an electoral district in a given election year, we find that female candidates obtain fewer votes in municipalities with higher gender earnings gaps. We show theoretically that when voters are biased against women, parties facing gender quotas select male candidates in the most contestable districts. We find empirical support for such a strategic party response to voter gender bias. Simulating our calibrated model confirms that competition significantly hinders the effectiveness of gender quotas.



Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. As of April 2026, depositors are required to submit study materials in accessible formats. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.