Michael Bednarczuk's analysis of bipartisanship's effect on committee chair selection in the U.S. House of Representatives. The dataset likely contains records for members and committees across the 107th through 114th Congresses. This research demonstrates the utility of combining party cartel and information theory for understanding Congress.
Use Cases
- Modeling the probability of becoming a committee chair based on bipartisanship scores.
- Comparing leadership selection patterns between 'power' and 'non-power' committees.
- Analyzing the relationship between party unity, campaign contributions, and leadership outcomes.
- Testing hypotheses derived from party cartel theory and information theory.
Strengths
- Analysis spans eight consecutive Congresses (107th through 114th), providing a longitudinal view.
- Dataset is associated with a forthcoming publication in Political Research Quarterly, indicating academic rigor.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale analysis.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Conditional logistic analysis of congressional data.
- Time Range
- 107th through 114th Congresses
- Freshness
- Last updated 2026-06-09 16:25:03; freshness should be verified.
- Geography
- United States House of Representatives