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 InfoArticle provided by Elsevier in its journal Journal of Public Economics.
Volume (Year): 56 (1995)
Issue (Month): 2 (February)
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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.:
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