EconPapers    
Economics at your fingertips  
 

Tagging And Redistributive Taxation

Robin Boadway and Pierre Pestieau

No 1071, Working Paper from Economics Department, Queen's University

Abstract: We study the optimal redistributive tax structure when the population can be disaggregated into tagged groups. We begin with the case in which the tag has no normative significance, but simply separates the population into identifiable groups with different distributions of ability-types. Under reasonable circumstances, the tax system will be more redistributive in the tagged group with the higher proportion of high-ability persons. We then extend the analysis to the case where the tag reflects differences in needs, that is, differences in the resources required to achieve a given level of utility, for example, due to a medical condition or a disability. The amount of compensation given for needs depends on whether the income tax structure is differentiated by needs groups.

Keywords: optimal income tax; tagging; needs (search for similar items in EconPapers)
JEL-codes: H21 H23 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2006-05
New Economics Papers: this item is included in nep-pbe and nep-pub
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)

Downloads: (external link)
https://www.econ.queensu.ca/sites/econ.queensu.ca/files/qed_wp_1071.pdf First version 2006 (application/pdf)

Related works:
Journal Article: Tagging and redistributive taxation (2006) Downloads
Working Paper: Tagging and redistributive taxation (2006)
Working Paper: Tagging and redistributive taxation (2006)
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:qed:wpaper:1071

Access Statistics for this paper

More papers in Working Paper from Economics Department, Queen's University Contact information at EDIRC.
Bibliographic data for series maintained by Mark Babcock ().

 
Page updated 2025-03-22
Handle: RePEc:qed:wpaper:1071