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

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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.

Suggested Citation

  • Amedeo Argentiero & Michele Bagella & Francesco Busato, 2008. "Money laundering in a two sector model: using theory for measurement," CEIS Research Paper 128, Tor Vergata University, CEIS, revised 09 Sep 2008.
  • Handle: RePEc:rtv:ceisrp:128
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    Cited by:

    1. Villa,Edgar & Misas,Martha A. & Loayza,Norman V., 2016. "Illicit activity and money laundering from an economic growth perspective : a model and an application to Colombia," Policy Research Working Paper Series 7578, The World Bank.
    2. 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.
    3. Unger Brigitte, 2009. "Money Laundering - A Newly Emerging Topic on the International Agenda," Review of Law & Economics, De Gruyter, vol. 5(2), pages 807-819, December.
    4. Slim, Sadri, 2015. "Un modelo Mundell-Fleming con economía ilegal y lavado de dinero
      [Modeling illegal economy and money laundering: a Mundell-Fleming framework]
      ," MPRA Paper 64675, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Hernando Bayona-Rodríguez & Catherine Rodríguez & J. Sebastián Melo, 2017. "Financial inclusion of the poor and money laundering indicators: empirical evidence for Colombia," DOCUMENTOS CEDE 015600, UNIVERSIDAD DE LOS ANDES-CEDE.
    10. Bagella Michele & Busato Francesco & Argentiero Amedeo, 2009. "Money Laundering in a Microfounded Dynamic Model: Simulations for the U.S. and the EU-15 Economies," Review of Law & Economics, De Gruyter, vol. 5(2), pages 879-902, December.

    More about this item

    Keywords

    Money Laundering; Two-sector dynamic general equilibrium model; Illegal economy;

    JEL classification:

    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

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