Skip to main content
Browse by:
GROUP

Ballot design and electoral outcomes: The role of candidate order and party affiliation

Event Image
Friday, September 13, 2024
3:30 pm - 4:30 pm
Alessandro Arlotto, Associate Professor of Business Administration and Mathematics. Decision Sciences, The Fuqua School of Business, Duke University
Statistical Science Seminar Series

We study how designing ballots with and without party designations impacts electoral outcomes when partisan voters rely on party-order cues to infer candidate affiliation in races without designations. If the party orders of candidates in races with and without party designations differ, these voters might cast their votes incorrectly. We identify a quasi-randomized natural experiment with contest-level treatment assignment pertaining to North Carolina judicial elections and use double machine learning to accurately capture the magnitude of such incorrectly cast votes. Using precinct-level election and demographic data, we estimate that 12.08% (95% confidence interval: 4.95%, 19.20%) of democratic partisan voters and 13.63% (95% confidence interval: 5.14%, 22.10%) of republican partisan voters cast their votes incorrectly due to the difference in party orders. Our results indicate that ballots mixing contests with and without party designations mislead many voters, leading to outcomes that do not reflect true voter preferences. To accurately capture voter intent, such ballot designs should be avoided. (Joint work with Alexandre Belloni, Fei Fang, and Sasa Pekec.)

Type: LECTURE/TALK
Contact: Karen Whitesell