Optimal Income Taxation with Human Capital Accumulation and Limited Record Keeping
Marek Kapicka
Review of Economic Dynamics, 2006, vol. 9, issue 4, 612-639
Abstract:
This paper characterizes optimal income taxes in a dynamic economy where human capital is unobservable and the government is restricted to use taxes that depend only on current income. I show that unobservability of human capital tends to decrease the labor wedge, while the effect on the human capital wedge is uncertain. I also analyze the relationship between optimal taxes in economies with and without endogenous human capital and identify two qualitative reasons why the optimal tax codes will differ. I perform numerical simulations to calculate the quantitative relevance of endogenous human capital formation for optimal tax policy. I find that endogenous human capital lowers marginal tax rates by about 9% on average, as compared with a static model without human capital. (Copyright: Elsevier)
Keywords: Optimal taxation; Income taxation; Human capital (search for similar items in EconPapers)
JEL-codes: E6 H2 (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (47)
Downloads: (external link)
http://dx.doi.org/10.1016/j.red.2006.05.003
Access to full texts is restricted to ScienceDirect subscribers and institutional members. See http://www.sciencedirect.com/ for details.
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:red:issued:05-24
Ordering information: This journal article can be ordered from
https://www.economic ... ription-information/
DOI: 10.1016/j.red.2006.05.003
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 ().