Money Laundering in a Microfounded Dynamic Model: Simulations for the U.S. and the EU-15 Economies
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Michele Bagella
Abstract
This paper explores the ability of a class of two-sector dynamic general equilibrium models to generate equilibrium time series for Money Laundering (ML), through numerical simulations in accordance with the works of Ingram, Kocherlakota and Savin (1997), Busato, Chiarini and Di Maro (2006), and Argentiero, Bagella and Busato (2008). The paper adopts this approach for the US and the EU-15 economies. The simulations show that ML accounts for 19 percent of GDP in the EU-15 economy, while it accounts for 13 percent in the US economy over the sample 2000:01-2007:04. Moreover, the ML simulated for the EU-15 is less volatile (relative standard deviation to GDP is 0.288 compared to a figure of almost 0.4 for the US economy), and negatively correlated with respect to GDP. The latter statistic is positive for the US economy.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Measuring Global Money Laundering: "The Walker Gravity Model"
- Trade-Based Money Laundering and Terrorist Financing
- Money Laundering in a Microfounded Dynamic Model: Simulations for the U.S. and the EU-15 Economies
- The Economics of Crime and Money Laundering: Does Anti-Money Laundering Policy Reduce Crime?
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Artikel in diesem Heft
- Article
- Money Laundering - A Newly Emerging Topic on the International Agenda
- Measuring Global Money Laundering: "The Walker Gravity Model"
- Trade-Based Money Laundering and Terrorist Financing
- Money Laundering in a Microfounded Dynamic Model: Simulations for the U.S. and the EU-15 Economies
- The Economics of Crime and Money Laundering: Does Anti-Money Laundering Policy Reduce Crime?
- The Risk-Based Approach in the New European Anti-Money Laundering Legislation: A Law and Economics View
- How to Dodge Drowning in Data? Rule- and Risk-Based Anti Money Laundering Policies Compared
