Candidate ballot information and election outcomes
The Czech case
Bibliographic Data
| ID | 6358053 |
|---|---|
| Authors | Štěpán Jurajda (0000-0001-6176-2656, Center for Economic Research and Graduate Education – Economics Institute, corresponding author), Daniel Münich (0000-0001-7698-4358, Center for Economic Research and Graduate Education – Economics Institute) |
| Year | 2015 |
| Volume | 31 |
| Issue | 5 |
| Pages | 448-469 |
| Publication date | 2015-09-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Post-Soviet Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1060-586X • E-ISSN: 1938-2855 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1060586x.2014.949066 |
| OpenAlex | W3123274917 |
| Language | EN |
| Citations received | 10 |
| References cited | 24 |
This study measures the importance of candidate characteristics listed on ballots for a candidate's position on a slate, for preferential votes received by a candidate, and, ultimately, for getting elected. We focus on the effects of gender, various types of academic titles, and also several novel properties of candidates' names. Using data on over 200,000 candidates competing in recent Czech municipal board and regional legislature elections, and conditioning on slate fixed effects, we find that ballot cues play a stronger role in small municipalities than in large cities and regions, despite the general agreement on higher candidate salience in small municipalities. We also quantify the electoral advantage of a slate being randomly listed first on a ballot
Ballot · Business · Czech · Economics · Legislature · Political science · Politics · Position (finance · Public economics · Public relations · Salience (neuroscience · Voting · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Names, Identity, and Discrimination Research · Public Administration
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| Unique citing works | 10 |
|---|---|
| Citations per year | 1,25 |
| Citation span | 2018 - 2024 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |