Quantifying the shadow economy: measurement with theory
Adrian Peralta-Alva () and
Christopher Waller ()
No 2011-015, Working Papers from Federal Reserve Bank of St. Louis
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.>
Keywords: Informal sector (Economics); Taxation; Credit (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba and nep-dge
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedlwp:2011-015
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Papers from Federal Reserve Bank of St. Louis Contact information at EDIRC.
Bibliographic data for series maintained by Anna Oates ().