Tax Amnesties as Asset Laundering Devices
AbstractTax amnesties are frequently offered by governments to induce citizens to voluntarily declare black assets accumulated from past tax evasion, especially in developing countries with a large ,underground' economy. The resulting switch in a citizen asset portfolios in favor of white assets could conceivably enhance compliance following the amnesty. In contrast, if the amnesty is anticipated then it is likely to lower compliance in pre-amnesty years. A dynamic model of tax compliance confirms these conjectures under plausible assumptions, but finds that the effects on net revenue collections from an amnesty may diverge substantially from the effects on compliance. For instance, if the pre-tax rate of return on black assets is higher than on white assets, and taxpayers are risk neutral, then an unanticipated amnesty is shown to lower aggregate net revenues following the amnesty, owing to lowered collection from penalties. On the other hand, positive revenue effects may result from an anticipated amnesty, though such outcomes can be ruled out if black asset stocks are large relative to white, and enforcement is weak. Myopic governments who place a high value on current vis-a-vis future revenues may still declare amnesties as revenue gains from increased compliance are visible and immediate, while reduced collections from penalties are invisible and stretched out into the future. Alternative justifications may be sought in improved risk-sharing between evaders and the government, or resulting economies in prosecution costs, but these require the government to possess detailed information concerning distributions over citizen characteristics in order the set the amnesty rates correctly.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Boston University, Institute for Economic Development in its series Boston University - Institute for Economic Development with number 69.
Date of creation: Dec 1995
Date of revision:
Other versions of this item:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Motta, Massimo & Polo, Michele, 2003.
"Leniency programs and cartel prosecution,"
International Journal of Industrial Organization,
Elsevier, vol. 21(3), pages 347-379, March.
- Motta, M. & Polo, M., 1999. "Leniency Programs and Cartel Prosecution," Economics Working Papers eco99/23, European University Institute.
- Motta, Massimo & Polo, Michele, 2000. "Leniency Programs and Cartel Prosecution," CEPR Discussion Papers 2349, C.E.P.R. Discussion Papers.
- Massimo Motta & Michele Polo, . "Leniency Programs and Cartel Prosecution," Working Papers 150, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Motta, Alberto & Burlando, Alfredo, 2007.
"Self reporting reduces corruption in law enforcement,"
5332, University Library of Munich, Germany, revised 23 Jun 2007.
- Alfredo Burlando & Alberto Motta, 2007. "Self Reporting reduces corruption in law enforcement," "Marco Fanno" Working Papers 0063, Dipartimento di Scienze Economiche "Marco Fanno".
- Julio López Laborda & Fernando Rodrigo Sauco, 2002. "El análisis económico de las amnistías fiscales: ¿Qué hemos aprendido hasta ahora?," Hacienda Pública Española, IEF, vol. 163(4), pages 121-153, December.
- Christoph Zaborowski & Peter Zweifel, 1999. "Getting Out of Debt: Garnishment of Wage in Whose Interest?," European Journal of Law and Economics, Springer, vol. 8(3), pages 207-230, November.
- Sandro Momigliano & Pietro Rizza, 2007. "Temporary measures in Italy: buying or losing time?," MNB Conference Volume, Magyar Nemzeti Bank (the central bank of Hungary), vol. 1(1), pages 61-71, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.