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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Public Economics.
Volume (Year): 56 (1995)
Issue (Month): 2 (February)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505578
Other versions of this item:
- Brito, D.L. & Hamilton, J.H. & Slutsky, S.M. & Stiglitz, J.E., 1989. "Randomization In Optimal Income Tax Schedules," Papers 89-6, Florida - College of Business Administration.
- 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.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Prescott, Edward C & Townsend, Robert M, 1984.
"Pareto Optima and Competitive Equilibria with Adverse Selection and Moral Hazard,"
Econometric Society, vol. 52(1), pages 21-45, January.
- 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.
- 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.
- Guesnerie, Roger & Seade, Jesus, 1982.
"Nonlinear pricing in a finite economy,"
Journal of Public Economics,
Elsevier, vol. 17(2), pages 157-179, 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.
- 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.
- 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.
- 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.
- Joseph E. Stiglitz, 1982.
"Self-Selection and Pareto Efficient Taxation,"
NBER Working Papers
0632, National Bureau of Economic Research, Inc.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.