A new signed measure of disproportionality developed by Chris Hanretty shows whether big or small actors benefit from disproportionality in political outcomes. The analysis indicates that around four percent of elections show degressive disproportionality. The dataset, hosted on Harvard Dataverse, was last updated on 2026-05-19.
Use Cases
- Comparing regressive versus degressive disproportionality across different political systems based on the described signed measure.
- Analyzing the relationship between disproportionality and the seat or vote share of the largest party as mentioned in the description.
- Testing theories of electoral system design using a measure that distinguishes between types of disproportionality.
Strengths
- Introduces a novel signed measure for distinguishing between regressive and degressive disproportionality.
- Analysis includes a specific finding that around four percent of elections show degressive disproportionality.
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 data compiled for academic research on electoral disproportionality.
- Freshness
- Last updated 2026-05-19 23:29:19; freshness should be verified.