Replication materials for a study on how voters penalize politicians whose ethical views diverge from societal consensus. The archive includes underlying datasets and analysis scripts to reproduce the results from the paper by Islam and Loewen. The data was last updated on June 23, 2026, on the Harvard Dataverse platform.
Use Cases
- Replicate statistical analyses on ethical distance and electoral outcomes based on the described study.
- Train models to predict voter punishment based on politician-society ethical divergence.
- Conduct secondary analysis on the relationship between societal consensus and political accountability using the provided datasets.
Strengths
- Includes full replication scripts alongside the data, facilitating reproducibility.
- Associated with a specific, peer-reviewed research paper titled 'Ethical Distance and Electoral Accountability'.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely contains survey or observational data related to ethical views and electoral outcomes, as inferred from the study title.
- Freshness
- Last updated 2026-06-23 17:03:37; freshness should be verified.