Optimal time-consistent taxation with international mobility of capital

Paul Klein, Vincenzo Quadrini, Jose Victor Rios-Rull

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18 Scopus citations

Abstract

The United States relies for its government revenues more on the taxation of capital relative to the taxation of labor than countries in continental Europe do. In this paper we ask what can account for this. Our approach is to look at Markov perfect equilibria of a two-country growth model where both governments use labor, capital and corporate taxes to finance exogenously given streams of public expenditure under period-by-period balanced budget constraints. There is no commitment technology and the equilibrium policies are time-consistent. We find that differences in productivity, size, and government spending can account for the heavy American reliance on capital taxation.

Original languageEnglish (US)
JournalAdvances in Macroeconomics
Volume5
Issue number1
DOIs
StatePublished - 2005

Bibliographical note

Funding Information:
∗◦Klein: Department of Economics, University of Western Ontario, London, Ontario, Canada N6A 5C2 and EPRI (e-mail: paul.klein@uwo.ca); Quadrini: Department of Finance and Business Economics, Marshall School of Business, University of Southern California, 701 Exposition Boulevard, HOH 601A Los Angeles, CA 90089, USA, CEPR and NBER (e-mail: quadrini@usc.edu); Rios-Rull: Department of Economics, 3718 Locust Walk, University of Pennsylvania, Philadelphia, PA 19104, USA, CAERP, CEPR and NBER (e-mail: vr0j@econ.upenn.edu). We thank Per Krusell and Enrique Mendoza and the attendants of seminars at Duke University, Cemfi, CEPR conference on Optimal Taxation in Tilburg and the 2000 Hydra Macroeconomics Conference on the cost of business cycles as well as the referees of this paper. Klein thanks the Social Sciences and Humanities Research Council of Canada. Rios-Rull aknowledges that this material is based upon work supported by the National Science Foundation under Grant No. 0079504, and thanks the University of Pennsylvania Research Foundation.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

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