Yuki Habuchi developed this replication dataset in 2026 to analyze public support for judicial reform in Israel through a conjoint experiment. The data captures how respondents weigh different democratic principles when evaluating proposed changes to the Israeli judiciary.
Use Cases
- Estimating Average Marginal Component Effects (AMCE) for judicial reform attributes
- Replicating the author's findings on how specific democratic principles influence public support
- Analyzing respondent-level heterogeneity in preferences for judicial independence
Strengths
- Utilizes a conjoint experimental design to measure multi-dimensional preferences
- Provides primary replication data for social science research on Israeli judicial reform
- Hosted on Harvard Dataverse, ensuring academic provenance
Limitations
- Sample size and respondent demographics are not specified in the metadata
- Geographically restricted to the Israeli political context
- Lack of column definitions or data dictionaries in the provided summary
Provenance
- Source
- Yuki Habuchi, Harvard Dataverse
- Collection Method
- Survey-based conjoint experiment
- Freshness
- Updated March 2026
- Geography
- Israel