Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-23T19:45:27.716Z Has data issue: false hasContentIssue false

IS IT ALWAYS RATIONAL TO SATISFY SAVAGE'S AXIOMS?

Published online by Cambridge University Press:  10 November 2009

Itzhak Gilboa
Affiliation:
Tel-Aviv University
Andrew Postlewaite
Affiliation:
University of Pennsylvania
David Schmeidler
Affiliation:
Ohio State University

Abstract

This note argues that, under some circumstances, it is more rational not to behave in accordance with a Bayesian prior than to do so. The starting point is that in the absence of information, choosing a prior is arbitrary. If the prior is to have meaningful implications, it is more rational to admit that one does not have sufficient information to generate a prior than to pretend that one does. This suggests a view of rationality that requires a compromise between internal coherence and justification, similarly to compromises that appear in moral dilemmas. Finally, it is argued that Savage's axioms are more compelling when applied to a naturally given state space than to an analytically constructed one; in the latter case, it may be more rational to violate the axioms than to be Bayesian.

Type
Essay
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Al-Najjar, N. I. and Weinstein, J.. 2009. The subjective approach to ambiguity: a critical assessment. Economics and Philosophy this volume.Google Scholar
Bewley, T. 2002. Knightian Decision Theory: Part I. Decisions in Economics and Finance 25: 79110. (Working paper, 1986.)Google Scholar
Carnap, R. 1952. The continuum of inductive methods. Chicago: University of Chicago Press.Google Scholar
de Finetti, B. 1937. La Prevision: Ses Lois Logiques, Ses Sources Subjectives. Annales de l'Institute Henri Poincare 7: 168.Google Scholar
Ellsberg, D. 1961. Risk, ambiguity and the Savage axioms. Quarterly Journal of Economics 75: 643–69.Google Scholar
Gilboa, I., Postlewaite, A. and Schmeidler, D.. 2004. Rationality of belief. Synthese forthcoming.Google Scholar
Gilboa, I. and Schmeidler, D.. 1989. Maxmin expected utility with a non-unique prior. Journal of Mathematical Economics 18: 141–53. (Working paper, 1986.)Google Scholar
Gilboa, I. and Schmeidler, D.. 1995. Case-based decision theory. Quarterly Journal of Economics 110: 605–39.CrossRefGoogle Scholar
Gilboa, I. and Schmeidler, D.. 2001. A theory of case-based decisions. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Jeffrey, R. 2004. Subjective probability: the real thing. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Knight, F. H. 1921. Risk, uncertainty, and profit. Boston: Houghton Mifflin.Google Scholar
Levi, I. 1980. The enterprise of knowledge: an essay on knowledge, credal probability, and chance. Cambridge, MA: MIT Press.Google Scholar
Lindley, D. 1965. Introduction to probability and statistics from a Bayesian viewpoint. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Mas-Colell, A., Whinston, M. and Green, J.. 1995. Microeconomic theory. New York: Oxford Press.Google Scholar
Ramsey, F. P. 1931. Truth and probability. In The foundation of mathematics and other logical essays. New York: Harcourt, Brace and Co.Google Scholar
Savage, L. J. 1954. The foundations of statistics. New York: John Wiley and Sons. (Second edition in 1972, Dover.)Google Scholar
Schmeidler, D. 1989. Subjective probability and expected utility without additivity. Econometrica 57: 571–87. (Working paper, 1982.)CrossRefGoogle Scholar
Shafer, G. 1986. Savage revisited. Statistical Science 1: 463–86.Google Scholar
von Neumann, J. and Morgenstern, O.. 1944. Games and economic behavior. New York: Wiley.Google Scholar