Dr Thomas Renstrom t.i.renstrom@durham.ac.uk
Associate Professor
In this paper we analyse second-best optimal taxation in an endogenous-growth model driven by public expenditure, in presence of endogenous fertility and labour supply. Normative analysis shows positive taxes on the number of children, which are necessary to correct for congestion in the publicly provided input (such as education and healthcare), negative public debt. Results on capital and labour income taxation depend on whether the public input is optimally provided.
Renström, T., & Spataro, L. (2021). Optimal taxation in an endogenous growth model with variable population and public expenditure. Journal of Public Economic Theory, 23(4), 639-659. https://doi.org/10.1111/jpet.12515
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 17, 2021 |
Online Publication Date | May 14, 2021 |
Publication Date | Jul 7, 2021 |
Deposit Date | Apr 26, 2021 |
Publicly Available Date | Oct 7, 2021 |
Journal | Journal of Public Economic Theory |
Print ISSN | 1097-3923 |
Electronic ISSN | 1467-9779 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 23 |
Issue | 4 |
Pages | 639-659 |
DOI | https://doi.org/10.1111/jpet.12515 |
Public URL | https://durham-repository.worktribe.com/output/1276851 |
Published Journal Article
(1.3 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2021 The Authors. Journal of Public Economic Theory published by Wiley Periodicals LLC
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Tax Reform, Unhealthy Commodities and Endogenous Health
(2017)
Preprint / Working Paper
The Impacts of Fossil Fuel Subsidy
Removal on Bangladesh Economy
(2018)
Journal Article
Decarbonisation Policies and Energy Price Reforms in Bangladesh
(2022)
Journal Article
Time Inconsistency in Environmental Policy: Tax Earmarking as a Commitment Solution
(2000)
Journal Article
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search