Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp0102870z683
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Mummolo, Jonathan | - |
dc.contributor.author | Yamaya, Shun | - |
dc.date.accessioned | 2019-06-26T13:49:05Z | - |
dc.date.available | 2019-06-26T13:49:05Z | - |
dc.date.created | 2019-04-02 | - |
dc.date.issued | 2019-06-26 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp0102870z683 | - |
dc.description.abstract | Decades of political science research has focused on voter behavior. However, this literature often ignores the multifaceted nature of ballots. In elections, voters are making a series of choices across different levels of government, and recent work shows sizable shares of voters who defect from their national party choice, especially in local races. How do split-ticket voters and strict party loyalists differ? I use both Ballot Image Data and an original exit poll survey implemented in the 2018 South Carolina midterm election to show that ticket-splitters not only tend to be moderate, but also perceive candidates of the opposing party to be moderate. I experimentally show that both in partisan and non-partisan local races, voters regret their vote after learning local candidates’ policy positions. Together, these findings suggest that while partisanship is a strong heuristic on the long ballot, it does not guarantee issue congruence at the local level. Furthermore, in down-ballot races, voters are often not informed about their local candidates’ policy positions and instead candidate perception facilitates split-ticket voting. | en_US |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | Voting Across the Government: An Exit Poll Experiment in South Carolina | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2019 | en_US |
pu.department | Politics | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 961154284 | - |
pu.certificate | Center for Statistics and Machine Learning | en_US |
Appears in Collections: | Politics, 1927-2020 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
YAMAYA-SHUN-THESIS.pdf | 1.25 MB | Adobe PDF | Request a copy |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.