
Posted by David Fellows[1] Introducing the concept of “objective data” In March 2018, we republished a short note on the use of objective data to combat corruption [2]. The piece highlighted statistical techniques being used in western countries to identify corruption by correlating unorthodox procurement practices with aberrant supplier behaviour established from factually based ‘objective’ administrative…

In a March 2018 blog PFMConnect co-principal David Fellows discussed the deficiencies surrounding corruption perception indices and outlined how objective data analysis could offer a clearer insight into the systemic nature of corrupt behaviour, thus providing a more precise indication of the corrupt parts of an administration, the number of external parties that are engaged…

Posted by David Fellows[1] The value and limitations of perception indices There are numerous corruption perception indices. They provide an outsider’s impression of the prevalence of corruption across the various branches of government. Some indices focus on issues of bribery, others are more general in scope. Some indices aim to engage with the general public,…

Corruption Correlations Our blog “International Development and the Challenge of Public Sector Corruption” discusses the results of our examination of correlations for the control of corruption and government effectiveness and public financial management (PFM) performance. Corruption and Government Effectiveness Correlations were calculated for the relationships between the control of corruption (capturing perceptions of the extent…