EconPapers    
Economics at your fingertips  
 

Quantifying the Welfare Gains from History Dependent Income Taxation

Marek Kapicka

No 271, 2017 Meeting Papers from Society for Economic Dynamics

Abstract: I quantify the welfare gains from introducing history dependent income tax in an incomplete markets framework where individuals face uninsurable random walk idiosyncratic shocks. I assume that the income tax paid is a function of a geometrical weighted average of past incomes, and solve for the optimal weights. I find that the optimal weights on past incomes decline geometrically at a rate equal to the discount rate. The welfare gains from history dependence are large, about 1.77 percent of consumption. I decompose the total effect into an efficiency effect that increases labor supply, and an insurance effect that reduces volatility of consumption and find that, quantitatively, the insurance effect dominates the efficiency effect. The optimal tax increases consumption insurance by trading higher tax progressivity with repect to past incomes for a reduced tax progressivity with respect to the current income.

Date: 2017
New Economics Papers: this item is included in nep-dge, nep-pbe and nep-pub
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2017/paper_271.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:sed017:271

Access Statistics for this paper

More papers in 2017 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 ().

 
Page updated 2025-03-19
Handle: RePEc:red:sed017:271