Evaluating the Income Tax Redistributive Impact: A More Comprehensive Approach
Carlo Declich and
Felice Russo
Rivista italiana degli economisti, 2009, issue 1, 71-106
Abstract:
In order to investigate the redistributional effects induced by personal income tax, empirical researchers are used to fixing a common distribution of income before tax for all tax schedules being compared. On one hand, this approach allows us to isolate the effect of tax policies. On the other hand, if the goal is to assess the real impact rather than the potential inequality outcomes of various tax regimes, it is well known that the income tax redistributive effect is mainly determined by both the pre-tax income distribution "and" the tax schedule operating on this distribution. In order to analyse tax reforms which will act on "unknown" pre-tax income distributions, this paper presents a simple procedure useful for practitioners wishing to take into account pre-tax distributional differences before undertaking comparisons between tax schedules. This new procedure is illustrated for a more accurate evaluation of the PIT reforms recently implemented in Italy. Finally, the outcomes of traditional analyses and our approach are compared.
Keywords: personal income taxation; redistribution; welfare (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.rivisteweb.it/download/article/10.1427/30384 (application/pdf)
https://www.rivisteweb.it/doi/10.1427/30384 (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:mul:jqat1f:doi:10.1427/30384:y:2009:i:1:p:71-106
Access Statistics for this article
Rivista italiana degli economisti is currently edited by Giuliano Conti
More articles in Rivista italiana degli economisti from Società editrice il Mulino
Bibliographic data for series maintained by ().