Title: Worldwide anti-money laundering regulation: estimating the costs and benefits

Authors: Raffaella Barone, Donato Masciandaro

Addresses: Department of Economics, Mathematics and Statistics, University of Salento, Via per Monteroni, Ecotekne 1, Lecce, Italy. ' Department of Economics, Bocconi University, Via Sarfatti 25, 20136 Milan, Italy

Abstract: The aim of this article is to offer a simple framework for estimating the benefits and costs of anti-ML regulation, based on a prudent estimation of the economic value of worldwide money laundering. Using the multiplier model of the relationship between criminal markets revenues and money laundering activities and data for 2004, the value of money laundering is equal to US$1.2 trillion (2.7% of the world GDP), while the maximum theoretical benefit in combating money laundering using financial regulation – in a steady state is equal to US$280 billion (0.6% of the world GDP). If the aggregate figures keep to the previous, more conservative estimates, the methodology is the crucial innovation. The estimates are the product of an explicit macro framework, and they can be replicated, improved using more consistent data, or contrasted implementing alternative models.

Keywords: money laundering; financial markets; economics of regulation; cost-benefit analysis; anti-money laundering regulation.

DOI: 10.1504/GBER.2008.019983

Global Business and Economics Review, 2008 Vol.10 No.3, pp.243 - 264

Published online: 20 Aug 2008 *

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