Optimal Spatial Taxation
Nezih Guner and
Jan Eeckhout
No 750, 2014 Meeting Papers from Society for Economic Dynamics
Abstract:
We analyze the role of optimal income taxation across different locations. Existing federal income tax schedules have a distortionary effect and result in the misallocation of labor across cities of different size. Because of higher productivity in big cities, wages for identically skilled workers are larger than in small cities. Progressive taxation thus implies that citizens in big cities pay higher taxes than in small cities. With mobility, utility is equalized, and the taxes are reflected in equilibrium wages and house prices. We solve for the optimal level of progressiveness. We find that the optimal level is not zero, but that it is less than what is observed in the US economy. Simulating the US economy under the optimal tax schedule, we find large effects on output and population mobility. GDP increases are in the range of 2.6–8.8%, and the fraction of population in 5 largest cities grows between 1.5–4.9%. The welfare effects however are small, 0.008–0.067%. This is due to the fact that the big output gains are lost in increased costs of living.
Date: 2014
New Economics Papers: this item is included in nep-cta, nep-geo, nep-mig, nep-pbe, nep-pub and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2014/paper_750.pdf (application/pdf)
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:sed014:750
Access Statistics for this paper
More papers in 2014 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().