Detecting the Fifty Shades of Grey: Local Crime, Suspicious Transaction Reporting and Anti-Money Laundering Regulation

L. dalla Pellegrina, Giorgio Di Maio, D. Masciandaro, Margherita Saraceno
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引用次数: 1

Abstract

This paper investigates the efficiency of the suspicious transaction reporting (STR) activity to the Financial Intelligence Unit (FIU) as a means to deter money laundering. A baseline theoretical model is used as a framework to guide the empirical analysis of the relationship between STR and the vulnerability of Italian provinces to money laundering in the 2008-2013 period. Instrumental variables are used to limit the problems stemming from the endogenous nature of the number of reports to the FIU with respect to vulnerability. Results provide a positive assessment of the riskbased mechanism of reporting suspicious operations to the FIU.
侦测五十度灰:地方犯罪、可疑交易报告与反洗钱法规
本文研究了向金融情报单位(FIU)报告可疑交易(STR)活动作为阻止洗钱的一种手段的效率。本文以基线理论模型为框架,对2008-2013年期间STR与意大利各省洗钱脆弱性之间的关系进行了实证分析。工具变量用于限制因向金融情报单位提交的关于脆弱性的报告数量的内生性质而产生的问题。结果对向金融情报组报告可疑行动的基于风险的机制提供了积极的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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