Replication data for a forthcoming study on party success in winning seats under the D'Hondt apportionment formula. The dataset likely contains variables related to wasted votes, district magnitude, vote distribution, malapportionment, and legal thresholds. It was authored by Daniel Bochsler and is hosted on Harvard Dataverse, last updated on April 22, -2026.
Use Cases
- Modeling party seat allocation based on the D'Hondt formula and variables like district magnitude.
- Analyzing the impact of legal thresholds on electoral outcomes and wasted votes.
- Investigating the effects of malapportionment and vote distribution across districts on party success.
Strengths
- Data is explicitly linked to a forthcoming peer-reviewed publication in 'Government and Opposition'.
- Last update timestamp is precisely recorded as 2026-04-22 17:49:58.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license information are unknown.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Replication data for an academic study.
- Time Range
- null
- Freshness
- Last updated 2026-04-22 17:49:58; freshness should be verified.
- Geography
- null