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

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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Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 128.

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Length: 24 pages
Date of creation: 09 Sep 2008
Date of revision: 09 Sep 2008
Handle: RePEc:rtv:ceisrp:128
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  1. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695 Elsevier.
  2. Francesco Busato & Bruno Chiarini, 2004. "Market and underground activities in a two-sector dynamic equilibrium model," Economic Theory, Springer, vol. 23(4), pages 831-861, May.
  3. Juan Carlos Conesa & Carlos Diaz Moreno & Jose Enrique Galdon Sanchez, 1997. "Underground economy and aggregate fluctuations," Working Papers in Economics 17, Universitat de Barcelona. Espai de Recerca en Economia.
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  5. Ingram, Beth F. & Kocherlakota, Narayana R. & Savin, N. E., 1997. "Using theory for measurement: An analysis of the cyclical behavior of home production," Journal of Monetary Economics, Elsevier, vol. 40(3), pages 435-456, December.
  6. Wen, Jean-Francois & Love, David R. F., 1998. "Evaluating Tax Reforms in a Monetary Economy," Journal of Macroeconomics, Elsevier, vol. 20(3), pages 487-508, July.
  7. Bhattacharyya, Dilip K, 1999. "On the Economic Rationale of Estimating the Hidden Economy," Economic Journal, Royal Economic Society, vol. 109(456), pages F348-59, June.
  8. Donato Masciandaro, 1999. "Money Laundering: the Economics of Regulation," European Journal of Law and Economics, Springer, vol. 7(3), pages 225-240, May.
  9. Tanzi, Vito, 1999. "Uses and Abuses of Estimates of the Underground Economy," Economic Journal, Royal Economic Society, vol. 109(456), pages F338-47, June.
  10. Dominik H. Enste & Friedrich Schneider, 2000. "Shadow Economies: Size, Causes, and Consequences," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 77-114, March.
  11. Robert G. King & Sergio T. Rebelo, 2000. "Resuscitating Real Business Cycles," NBER Working Papers 7534, National Bureau of Economic Research, Inc.
  12. Frey, Bruno S. & Weck-Hanneman, Hannelore, 1984. "The hidden economy as an 'unobserved' variable," European Economic Review, Elsevier, vol. 26(1-2), pages 33-53.
  13. David E. A. Giles, 1998. "Measuring The Hidden Economy: Implications for Econometric Modelling," Econometrics Working Papers 9809, Department of Economics, University of Victoria.
  14. Lucas, Robert E, Jr, 1980. "Methods and Problems in Business Cycle Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(4), pages 696-715, November.
  15. Roberta Zizza, 2002. "Metodologie di stima dell�economia sommersa: un�applicazione al caso italiano," Temi di discussione (Economic working papers) 463, Bank of Italy, Economic Research and International Relations Area.
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