Replication Data for 'DC On My Mind' from The Journal of Politics Dataverse, authored by Derek Holliday. The dataset supports a study using conjoint experiments to analyze how national, state, and local policy positions influence candidate selection across different election levels. It was last updated on May 8, 2026.
Use Cases
- Modeling voter decision-making based on policy positions mentioned in the description
- Analyzing the correlation between national and subnational election outcomes as described
- Training classifiers to predict candidate selection influenced by multi-level policy issues
- Studying political accountability mechanisms in low-information electoral settings
Strengths
- Dataset is associated with a peer-reviewed journal publication, The Journal of Politics.
- Last update timestamp is precise: 2026-05-08 17:07:28.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- The Journal of Politics Dataverse
- Collection Method
- Conjoint experiments varying office level and candidate policy positions.
- Freshness
- Last updated 2026-05-08 17:07:28; freshness should be verified.
- Geography
- United States (implied by context of U.S. politics)