Minimum taxation as a luxury good
Maurizio Caserta and
Francesco Reito ()
Economia Politica: Journal of Analytical and Institutional Economics, 2015, vol. 32, issue 3, 310 pages
Abstract:
This paper investigates the use of minimum tax thresholds to avoid income tax evasion. We analyze a moral-hazard model in which, given the endogenous audit probability, taxpayers may choose to comply or not with their tax obligation. The main result is that the imposition of a minimum tax, whereby taxpayers need to pay a tax on wealth no lower than a certain amount, can be Pareto efficient. The result hinges upon a critical level of wealth endowment: wealthy economies should ask for a minimum tax payment from all taxpayers; poor economies should only rely on income taxation, and allow taxpayers to be able to get away with their tax obligations. Minimum taxation, therefore, is like a luxury good and only rich economies can afford it. Copyright Springer International Publishing Switzerland 2015
Keywords: Tax evasion; Minimum tax; Moral hazard; D81; L14; O12 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s40888-015-0015-x (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:epolit:v:32:y:2015:i:3:p:301-310
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40888
DOI: 10.1007/s40888-015-0015-x
Access Statistics for this article
Economia Politica: Journal of Analytical and Institutional Economics is currently edited by Alberto Quadrio Curzio
More articles in Economia Politica: Journal of Analytical and Institutional Economics from Springer, Fondazione Edison
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().