Abstract
The problem of optimal redistributive capital income taxation in a differential game setup is studied. Following the influential works by Judd [3] and Chamley [1], it has been quite common in the economic literature to assume that the optimal limiting tax on capital income is zero. Using a simple model of capital income taxation, proposed originally by Judd, we show that the optimal tax can be different from zero under quite general assumptions. The main result is a sufficient condition for obtaining an appropriate solution to a differential game.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chamley, C.: Optimal Taxation of Capital Income in General Equilibrium with Infinite Lives. Econometrica 54(3), 607–622 (1986)
Dockner, E., et al.: Differential Games in Economics and Management Science. Cambridge University Press, Cambridge (2000)
Judd, D.: Redistributive Taxation in a Simple Perfect Foresight Model. Journal of Public Economics 28, 59–83 (1985)
Kemp, L., van Long, N., Shimomura, K.: Cyclical and Noncyclical Redistributive Taxation. International Economic Review 34(2), 415–429 (1993)
Lansing, K.: Optimal Redistributive Capital Taxation in a Neoclassical Growth Model. Journal of Public Economics 73, 423–453 (1999)
Seierstad, A., Sydsaeter, K.: Sufficient Conditions in Optimal Control Theory. International Economic Review 18(2), 367–391 (1977)
Xie, D.: On Time Inconsistency: A Technical Issue in Stackelberg Differential Games. Journal of Economic Theory 76(2), 412–430 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krastanov, M.I., Rozenov, R. (2008). On Optimal Redistributive Capital Income Taxation. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2007. Lecture Notes in Computer Science, vol 4818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78827-0_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-78827-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78825-6
Online ISBN: 978-3-540-78827-0
eBook Packages: Computer ScienceComputer Science (R0)