Revisiting Taxes on High Incomes
Ayse Imrohoroglu,
Cagri Kumru,
Jiu Lian and
Arm Nakornthab
Additional contact information
Arm Nakornthab: Khon Kaen University
Review of Economic Dynamics, 2023, vol. 51, 1159-1184
Abstract:
In this paper, we study income taxation in a model with entrepreneurial activity. We conduct two types of changes in tax policy: changing the overall progressivity of taxes versus changing the tax rate on the richest 1% of the population. Our results indicate that increasing the tax rate on the richest 1% of the population is more effective in raising revenues than increasing the overall progressivity of taxes as it leads to smaller declines in capital and output. We find that incorporating entrepreneurship in generating a reasonable wealth distribution leads to revenue-maximizing progressivity to be smaller than found previously. (Copyright: Elsevier)
Keywords: Entrepreneurship; taxation; progressivity; labor supply (search for similar items in EconPapers)
JEL-codes: E21 H2 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://dx.doi.org/10.1016/j.red.2023.11.001
Access to full texts is restricted to ScienceDirect subscribers and institutional members. See https://www.sciencedirect.com/ for details.
Related works:
Software Item: Code and data files for "Revisiting Taxes on High Incomes" (2023) 
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:red:issued:23-105
Ordering information: This journal article can be ordered from
https://www.economic ... ription-information/
DOI: 10.1016/j.red.2023.11.001
Access Statistics for this article
Review of Economic Dynamics is currently edited by Loukas Karabarbounis
More articles in Review of Economic Dynamics from Elsevier for the Society for Economic Dynamics Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().