01575nam a2200229   4500001000700000100004100007101000800048200016500056210005600221215002000277225002200297300004800319330078500367606003001152606003101182606000901213606003001222606003201252700002001284701001901304701002201323394324  a20170104d2016       y0pory50      ba  aeng  aThe impact of anti-money laundering regulation on payment flowsbRecurso eletrónicoeevidence from SWIFT datafMatthew Collin, Samantha Cook, Kimmo Soramäki  aWashington, DCcCenter for Global Developmentd2016  a1 CD-ROMd12 cm  aWorking Paperv45  aFicheiro de 1,84 MB em formato PDF (52 p.).  a1. Introduction. 1.1 Overview. 2. Framework. 2.1 How can greater regulatory risk lead to de-risking?. 2.2 How can de-risking lead to lower payment flow volunes?. 2.3 Hypotheses. 3. Data sources and description. 3.1 SWIFT data on cross-border payments. 3.2 Do SWIFT payments measure anything?. 3.3 FATF greylisting. 3.4 Other treatment measures. 4. Specification issues and identification. 4.1 Controls, heterogeneity across time and inference. 5. Results. 5.1 Does FATF greylisting reduce the aggregate number of payment flows?. 5.2 Does greylisting change the direction of payment flows?. 5.3 Does greylisting change the route that payment messages take to or from high-risk countries?. 6. Discussion and conclusion. References. 7. Appendix. 7.1 Extra Graphs. 7.2 Extra Tables. .  aTRANSACÇÃO FINANCEIRA  aINSTITUIÇÃO FINANCEIRA  aGAFI  aBRANQUEAMENTO DE CAPITAIS  aFINANCIAMENTO DO TERRORISMO  aCOLLINbMatthew  aCOOKbSamantha  aSORAMÄKIbKimmo