Randomization In Optimal Income Tax Schedules
AbstractThe optimal income tax problem, since it requires self-selection constraints which define nonconvex feasible sets, is one of the many problems in economics for which randomization in the solution may be desirable. For a two-class economy. we characterize the optimal random tax schedules and we present necessary and sufficient conditions for the desirability of local randomization. The standard single-crossing restriction on preferences is not required for these results. We also show that randomization can be beneficial without violating (ex post as well as ex ante) horizontal equity. Lastly, we give an example to demonstrate that the gains from randomization may be large.
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Bibliographic InfoPaper provided by Florida - College of Business Administration in its series Papers with number 89-6.
Length: 26 pages
Date of creation: 1989
Date of revision:
Contact details of provider:
Postal: UNIVERSITY OF FLORIDA, COLLEGE OF BUSINESS ADMINISTRATION, GAINESVILLE FLORIDA 33620 U.S.A.
Phone: (352) 392-2397 x1399
Fax: (352) 392-2086
Web page: http://warrington.ufl.edu/
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income ; taxes ; economic models;
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- Guesnerie, Roger & Seade, Jesus, 1982.
"Nonlinear pricing in a finite economy,"
Journal of Public Economics,
Elsevier, vol. 17(2), pages 157-179, March.
- Dagobert L. Brito & Jonathan H. Hamilton & Steven M. Slutsky & Joseph E. Stiglitz, 1995.
"Randomization in Optimal Income Tax Schedules,"
NBER Working Papers
3289, National Bureau of Economic Research, Inc.
- Stiglitz, Joseph E., 1982.
"Self-selection and Pareto efficient taxation,"
Journal of Public Economics,
Elsevier, vol. 17(2), pages 213-240, March.
- John C. Fellingham & Young K. Kwon & D. Paul Newman, 1984. "Ex ante Randomization in Agency Models," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 290-301, Summer.
- Edward C Prescott & Robert M Townsend, 2010.
"Pareto Optima and Competitive Equilibria With Adverse Selection and Moral Hazard,"
Levine's Working Paper Archive
2069, David K. Levine.
- Prescott, Edward C & Townsend, Robert M, 1984. "Pareto Optima and Competitive Equilibria with Adverse Selection and Moral Hazard," Econometrica, Econometric Society, vol. 52(1), pages 21-45, January.
- Mirrlees, James A, 1971. "An Exploration in the Theory of Optimum Income Taxation," Review of Economic Studies, Wiley Blackwell, vol. 38(114), pages 175-208, April.
- Weiss, Laurence, 1976. "The Desirability of Cheating Incentives and Randomness in the Optimal Income Tax," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1343-52, December.
- Brito, Dagobert L, et al, 1990. "Pareto Efficient Tax Structures," Oxford Economic Papers, Oxford University Press, vol. 42(1), pages 61-77, January.
- Sadka, Efraim, 1976. "On Income Distribution, Incentive Effects and Optimal Income Taxation," Review of Economic Studies, Wiley Blackwell, vol. 43(2), pages 261-67, June.
- J C Fellingham & Y K Kwon & D P Newman, 2010. "Ex Ante Randomization in Agency Models," Levine's Working Paper Archive 1953, David K. Levine.
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