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Joras Ferwerda

Chapter 10 in The Economic and Legal Effectiveness of the European Union’s Anti-Money Laundering Policy, 2014, pp iii-iii from Edward Elgar Publishing

Abstract: Statistics on AML policy can be classified into two types: input statistics, which are the resources invested in AML policy like the budget of the FIU and other relevant institutions, and output statistics, which are the result of the AML policy, such as the reports disclosed to the FIU and the number of prosecutions and convictions for money laundering. It is very hard to use output statistics as an actual indicator for AML policy, because an increase in the number of reports can be the result of a greater anti-money laundering effort or an increase in the amount of money laundering. In this chapter we explore to which extent the differences in statistics between EU Member States can be explained. Moreover, these data form the basis for a cluster analysis, which shows that in terms of AML policy the 27 EU Member States consist of four groups which have their own distinct characteristics.

Keywords: Economics and Finance; Law - Academic (search for similar items in EconPapers)
Date: 2014
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