Comprising over 2.4 million government contracts from 11 EU countries, used to study the link between local politicians' salaries and corruption risk. It leverages nearly 100 discrete salary thresholds tied to population size for causal identification. The analysis applies fixed effects, regression discontinuity, and difference-in-discontinuities designs.
Use Cases
- Analyze corruption risk indicators across 2.4 million government contracts to identify patterns in procurement.
- Study the relationship between local politician salary changes and contract risk metrics using regression discontinuity designs.
- Compare procurement outcomes across 11 EU countries using uniformly defined corruption risk measures.
- Examine the impact of salary thresholds tied to population size on government contracting behavior.
Strengths
- Over 2.4 million government contract records provide a substantial sample for analysis.
- Data covers 11 EU countries, representing more than half of the EU's population and GDP.
- Research design exploits nearly 100 discrete salary thresholds for improved causal inference.
Limitations
- The dataset's specific columns, file formats, and sample data are not described.
- The temporal coverage of the 2.4 million contracts is not specified.
- Focus on 11 EU countries may limit generalizability to other regions.
Provenance
- Source
- Harvard Dataverse, authored by Marko Klasnja.
- Collection Method
- Original dataset of government contracts with uniformly defined and validated corruption risk indicators.
- Time Range
- null
- Freshness
- null
- Geography
- 11 European Union countries.