Optimal capital income taxation, investment subsidies and redistribution in a neoclassical growth model
Günther Rehme
No 188, Darmstadt Discussion Papers in Economics from Darmstadt University of Technology, Department of Law and Economics
Abstract:
In this paper I readdress the result that capital income taxes are bad instruments for pure redistribution and should be zero in the long run. In a neoclassical growth model a capital income cum investment subsidy tax, which is not distorting accumulation, is considered to investigate if net capital income taxes used for pure redistribution are zero in a long-run optimum. I find that capital income taxes may be nonzero, depending on the political power of those who receive redistributive transfers, the distribution of pre-tax factor incomes, and the intertemporal elasticity of substitution.
Keywords: Growth; Redistribution; Investment Subsidies; Capital Income Taxes (search for similar items in EconPapers)
JEL-codes: D33 H21 O41 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/32053/1/588002534.PDF (application/pdf)
Related works:
Working Paper: Optimal Capital Income Taxation, Investment Subsidies and Redistribution in a Neoclassical Growth Model (2009) 
Working Paper: Optimal Capital Income Taxation, Investment Subsidies and Redistribution in a Neoclassical Growth Model (2007)
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:zbw:darddp:dar_35711
Access Statistics for this paper
More papers in Darmstadt Discussion Papers in Economics from Darmstadt University of Technology, Department of Law and Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().