Featuring daily pricing data from gas stations on small Greek islands, used to study the pass-through of four major tax changes in petroleum products. The analysis found asymmetric pass-through where tax hike effects were five times larger than tax decreases. The data was collected by Christos Genakos.
Use Cases
- Analyze the asymmetric pass-through of tax hikes versus tax decreases on daily gas station prices.
- Study the relationship between competition levels and the pass-through rate of tax changes.
- Model the speed of price adjustments following tax changes to test for asymmetry.
- Investigate potential tacit collusion or consumer search behavior as explanations for observed price patterns using daily station data.
Strengths
- Data is daily, providing high-frequency granularity for price change analysis.
- Focuses on four major tax changes, allowing for clear event study comparisons.
- Geographic scope is defined as small Greek islands, offering a controlled market setting.
Limitations
- The specific number of rows, columns, and gas stations is unknown, limiting assessment of statistical power.
- Sample data and file formats are unavailable, preventing preview of data structure.
- The dataset's age and temporal coverage are not specified, which may affect relevance for current analysis.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- Daily pricing data collected from gas stations.
- Time Range
- null
- Freshness
- null
- Geography
- Small Greek islands