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

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  • Raffaella Barone
  • Donato Masciandaro

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.

Suggested Citation

  • Raffaella Barone & Donato Masciandaro, 2008. "Worldwide anti-money laundering regulation: estimating the costs and benefits," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(3), pages 243-264.
    • Handle: RePEc:ids:gbusec:v:10:y:2008:i:3:p:243-264
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    Citations

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    Cited by:

    1. Ms. Concha Verdugo Yepes & Mr. Peter L. Pedroni & Xingwei Hu, 2015. "Crime and the Economy in Mexican States: Heterogeneous Panel Estimates (1993-2012)," IMF Working Papers 2015/121, International Monetary Fund.
    2. Tomas Williams & Pablo Slutzky & Mauricio Villamizar-Villegas, 2019. "Drug Money and Bank Lending: The Unintended Consequences of Anti-Money Laundering Policies," Working Papers 2019-5, The George Washington University, Institute for International Economic Policy, revised May 2020.
    3. Raffaella Barone & Domenico Delle Side & Donato Masciandaro, 2018. "Drug trafficking, money laundering and the business cycle: Does secular stagnation include crime?," Metroeconomica, Wiley Blackwell, vol. 69(2), pages 409-426, May.
    4. Raffaella Barone & Donato Masciandaro, 2011. "Organized crime, money laundering and legal economy: theory and simulations," European Journal of Law and Economics, Springer, vol. 32(1), pages 115-142, August.
    5. Raffaella Barone & Roy Cerqueti & Anna Quaranta, 2012. "Illegal finance and usurers behaviour," European Journal of Law and Economics, Springer, vol. 34(2), pages 265-277, October.
    6. Carmela D’Avino, 2023. "Money laundering and AML regulatory and judicial system regimes: investigation of FinCEN files," European Journal of Law and Economics, Springer, vol. 55(2), pages 195-223, April.
    7. Dalla Pellegrina Lucia & Masciandaro Donato, 2009. "The Risk-Based Approach in the New European Anti-Money Laundering Legislation: A Law and Economics View," Review of Law & Economics, De Gruyter, vol. 5(2), pages 931-952, December.

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