More than 80,000 candidates from over 5,000 parties across 300 municipalities in the Netherlands are covered in this replication dataset. Hidde Van Slooten created this data to examine how electoral performance influences party renomination decisions. The dataset includes all variables needed to replicate analyses on candidate popularity and partisan responsiveness.
Use Cases
- Modeling party renomination decisions based on candidate electoral performance.
- Comparing candidate selection strategies between national party branches and independent local parties.
- Analyzing the relationship between candidate popularity and renomination likelihood in quasi-open list systems.
Strengths
- Covers more than 80,000 candidates, providing a substantial sample.
- Includes data from over 5,000 parties across more than 300 municipalities.
- Maintains a consistent societal and institutional context by focusing on two Dutch municipal elections.
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
- Time Range
- 2018 and 2022 municipal elections
- Freshness
- Last updated 2026-05-26 14:36:15; freshness should be verified.
- Geography
- Netherlands