Optimal income taxation with asset accumulation
Arpad Abraham (),
Sebastian Koehne and
Nicola Pavoni
MPRA Paper from University Library of Munich, Germany
Abstract:
Several frictions restrict the government's ability to tax assets. First of all, it is very costly to monitor trades on international asset markets. Moreover, agents can resort to non-observable low-return assets such as cash, gold or foreign currencies if taxes on observable assets become too high. This paper shows that limitations in asset observability have important consequences for the taxation of labor income. Using a dynamic moral hazard model of social insurance, we �find that optimal labor income taxes typically become less progressive when assets are imperfectly observed. We evaluate the effect quantitatively in a model calibrated to U.S. data.
Keywords: Optimal Income Taxation; Capital Taxation; Asset Accumulation; Progressivity (search for similar items in EconPapers)
JEL-codes: D82 E21 H21 (search for similar items in EconPapers)
Date: 2012-05-03
New Economics Papers: this item is included in nep-acc, nep-dge, nep-pbe and nep-pub
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/38629/1/MPRA_paper_38629.pdf original version (application/pdf)
Related works:
Working Paper: Optimal Income Taxation with Asset Accumulation (2014) 
Working Paper: Optimal Income Taxation with Asset Accumulation (2014) 
Working Paper: Optimal Income Taxation with Asset Accumulation (2014) 
Working Paper: Optimal Income Taxation with Asset Accumulation (2011) 
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:pra:mprapa:38629
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().