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Money laundering in a two-sector model: using theory for measurement

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  • Amedeo Argentiero
  • Michele Bagella
  • Francesco Busato

    ()

Abstract

This paper implements a methodology that exploits firms and households’ optimality conditions to measure money laundering for the Italian economy. This approach, first implemented by Ingram, Kocherlakota, and Savin (1997) to the household production sector, and by Busato, Chiarini and Di Maro (2006) for measuring the underground economy, allows to generate high frequency series for the money laundering using a theoretical two-sector dynamic general equilibrium model calibrated over the sample 1981:01-2001:04. The analysis of the generated series suggests two main results. First, money laundering accounts for approximately 12 percent of aggregate GDP; second, money laundering is more volatile than aggregate GDP, and it is negatively correlated with it.

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Bibliographic Info

Article provided by Springer in its journal European Journal of Law and Economics.

Volume (Year): 26 (2008)
Issue (Month): 3 (December)
Pages: 341-359

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Handle: RePEc:kap:ejlwec:v:26:y:2008:i:3:p:341-359

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Web page: http://www.springerlink.com/link.asp?id=100264

Related research

Keywords: Money laundering; Two-sector dynamic general equilibrium model; Illegal economy; E26; E32; K40;

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References

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Citations

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Cited by:
  1. Guerino Ardizzi & Carmelo Petraglia & Massimiliano Piacenza & Friedrich Schneider & Gilberto Turati, 2013. "Money Laundering as a Financial Sector Crime - A New Approach to Measurement, with an Application to Italy," CESifo Working Paper Series 4127, CESifo Group Munich.
  2. 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.
  3. Amedeo Argentiero & Carlo Andrea BOLLINO, 2013. "The Mmeasurement of Underground Economy: A Dynamic-Simulation Based Approach," Quaderni del Dipartimento di Economia, Finanza e Statistica 123/2013, Università di Perugia, Dipartimento Economia, Finanza e Statistica.
  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. Gnutzmann, Hinnerk & McCarthy, Killian J. & Unger, Brigitte, 2010. "Dancing with the devil: Country size and the incentive to tolerate money laundering," International Review of Law and Economics, Elsevier, vol. 30(3), pages 244-252, September.

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