Abstract

 


 



Model Uncertainty and Intertemporal Tax Smoothing


Yulei Luo


University of Hong Kong

Jun Nie


Federal Reserve Bank of Kansas City

Eric R. Young


University of Virginia

August 21, 2012

Federal Reserve Bank of Kansas City Working Paper No. 12-01

Abstract:     
In this paper we examine how model uncertainty due to the preference for robustness (RB) affects optimal taxation and the evolution of debt in the Barro tax-smoothing model (1979). We first study how the government spending shocks are absorbed in the short run by varying taxes or through debt under RB. Furthermore, we show that introducing RB improves the model’s predictions by generating (i) the observed relative volatility of the changes in tax rates to government spending, (ii) the observed comovement between government deficits and spending, and (iii) more consistent behavior of government budget deficits in the US economy.

Number of Pages in PDF File: 46

Keywords: Robustness, Model Uncertainty, Taxation Smoothing, Taxation Tilting

JEL Classification: D83, E21, F41, G15

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Date posted: April 20, 2012 ; Last revised: March 11, 2013

Suggested Citation

Luo, Yulei, Nie, Jun and Young, Eric R., Model Uncertainty and Intertemporal Tax Smoothing (August 21, 2012). Federal Reserve Bank of Kansas City Working Paper No. 12-01. Available at SSRN: http://ssrn.com/abstract=2042731 or http://dx.doi.org/10.2139/ssrn.2042731

Contact Information

Yulei Luo (Contact Author)
University of Hong Kong ( email )
Pokfulam Road
Hong Kong, HK
China
Jun Nie
Federal Reserve Bank of Kansas City ( email )
1 Memorial Drive
Kansas City, MO 64198
United States
(816) 881-2255 (Phone)
(816) 881-2199 (Fax)
HOME PAGE: http://homepages.nyu.edu/~jn461/research.htm
Eric R. Young
University of Virginia (UVA) ( email )
1400 University Ave
Charlottesville, VA 22903
United States
Feedback to SSRN (Beta)


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