Candidate Endorsements and Support in Ranked Choice Voting Elections

Delivering replication data for a study on candidate endorsements and voter support in ranked choice voting elections. The data was authored by Joseph Coll and is hosted by Harvard Dataverse. Specific details on row count, column structure, and file formats are unavailable.

Use Cases

• Analyze the relationship between candidate endorsements and final election rankings.
• Model voter support patterns under ranked choice voting systems.
• Investigate how endorsement characteristics correlate with candidate performance metrics.

Strengths

• Data is associated with a formal academic study, providing a basis for replication.
• Hosted on the Harvard Dataverse platform, which is a recognized repository for social science research.
• The dataset was last updated in February 2026, indicating recent maintenance.

Limitations

• The dataset's structure, including row count, column names, and sample data, is unknown.
• The specific geographic and temporal coverage of the election data is not provided.
• File formats and data size are unspecified, complicating assessment of usability.

Provenance

Source

Harvard Dataverse

Collection Method

Replication data for an academic study.

Freshness

Last updated on 2026-02-02.