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Replication Data for: Uncovering high-level corruption: Cross-national objective corruption risk indicators using public procurement data

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Uncovering high-level corruption: Cross-national objective corruption risk indicators using public procurement data
 
Identifier https://doi.org/10.7910/DVN/6XYZOD
 
Creator Fazekas, Mihaly
Kocsis, Gabor
 
Publisher Harvard Dataverse
 
Description Measuring high-level corruption is subject to extensive scholarly and policy interest with moderate progress in the last decade. We develop two objective proxy measures of high-level corruption in public procurement: single bidding in competitive markets and a composite score of tendering 'red flags'. Using official government data of 2.8 million contracts in 28 European countries in 2009-2014, we directly operationalize a common definition of corruption: unjustified restriction of access to public contracts to favour a selected bidder. Corruption indicators are calculated at the contract level, but produce aggregate indices consistent with well-established country-level indicators, and also validated by micro-level tests. Further data is published at http://digiwhist.eu/resources/data/.
 
Subject Social Sciences
European Union
Corruption
Methodology
 
Contributor Kocsis, Gabor