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Quantifying the Shadow Economy: Measurement with Theory


Pere Gomis-Porqueras


University of Miami - Department of Economics

Adrian Peralta-Alva


Federal Reserve Bank of St. Louis

Christopher J. Waller


University of Notre Dame - Department of Economics

May 31, 2011

Federal Reserve Bank of St. Louis Working Paper Series No. 2011-015A

Abstract:     
We construct a dynamic, general equilibrium model of tax evasion where agents choose to report some of their income. Unreported income requires using a payment method that avoids recordkeeping – cash. Trade using cash to avoid taxes is the theoretical measure of the shadow economy from our model. We then calibrate our model using money, interest rate and GDP data to back out the size of the shadow economy for a sample of 30 countries and compare our estimates to traditional ad hoc estimates. Our results generate reasonably larger estimates for the size of the shadow economy than exist in previous literature.

Number of Pages in PDF File: 33

Keywords: informal sector, search, money, credit

JEL Classification: E4, E5

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Date posted: May 31, 2011  

Suggested Citation

Gomis-Porqueras, Pere, Peralta-Alva, Adrian and Waller, Christopher J., Quantifying the Shadow Economy: Measurement with Theory (May 31, 2011). Federal Reserve Bank of St. Louis Working Paper Series No. 2011-015A. Available at SSRN: http://ssrn.com/abstract=1856254 or http://dx.doi.org/10.2139/ssrn.1856254

Contact Information

Pere Gomis-Porqueras
University of Miami - Department of Economics ( email )
P.O. Box 248126
Coral Gables, FL 33124-6550
United States
Adrian Peralta-Alva (Contact Author)
Federal Reserve Bank of St. Louis ( email )
411 Locust St
Saint Louis, MO 63011
United States
HOME PAGE: http://research.stlouisfed.org/econ/peralta-alva/index.html
Christopher J. Waller
University of Notre Dame - Department of Economics ( email )
434 Flanner Hall
Notre Dame, IN 46556
United States
574-631-4963 (Phone)
574-631-9238 (Fax)
HOME PAGE: http://www.nd.edu/~cwaller/
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