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Maxmin Expected Utility and Weight of Evidence

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  • Kelsey, D.

Abstract

In 1989, I. Gilboa and D. Schmeidler proposed an extension of subjective expected utility theory called maxmin expected utility. The author presents a new exposition of this theory and suggests an extension of maxmin expected utility that which does not allow strictly dominated alternatives to be chosen. Maxmin expected utility is related to the earlier notion of weight of evidence and an application to welfare economics is discussed. The author examines normative properties of maxmin expected utility and argues that the theory is not vulnerable to the Dutch book argument. Copyright 1994 by Royal Economic Society.

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Bibliographic Info

Paper provided by Australian National University - Department of Economics in its series Papers with number 216.

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Length: 23 pages
Date of creation: 1990
Date of revision:
Handle: RePEc:fth:aunaec:216

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Postal: THE AUSTRALIAN NATIONAL UNIVERSITY, DEPARTMENT OF ECONOMICS, RESEARCH SCHOOL of PACIFIC STUDIES, RESEARCH SCHOOL OF SOCIAL SCIENCES, G.P.O. 4, CANBERRA ACT 2601 AUSTRALIA..O. BOX 4 CANBERRA 2601 AUSTRALIA.
Web page: http://economics.anu.edu.au/economics.htm
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Related research

Keywords: decision making ; economic theory ; probability ; economic models;

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Cited by:
  1. Eichberger, Jürgen & Kelsey, David & Schipper, Burkhard C., 2005. "Ambiguity and Social Interaction," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 59, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  2. Aldred, Jonathan, 2013. "Justifying precautionary policies: Incommensurability and uncertainty," Ecological Economics, Elsevier, vol. 96(C), pages 132-140.
  3. Alberto Feduzi, 2005. "On the relationship between keynes´s conception of evidential weight and the ellsberg paradox," Departmental Working Papers of Economics - University 'Roma Tre' 0051, Department of Economics - University Roma Tre.
  4. Carlo Zappia, 2012. "Re-reading Keynes after the crisis: probability and decision," Department of Economics University of Siena 646, Department of Economics, University of Siena.
  5. Stefan Trautmann, 2010. "Individual fairness in Harsanyi’s utilitarianism: operationalizing all-inclusive utility," Theory and Decision, Springer, vol. 68(4), pages 405-415, April.
  6. Marcello Basili & Carlo Zappia, 2010. "Ambiguity and uncertainty in Ellsberg and Shackle," Cambridge Journal of Economics, Oxford University Press, vol. 34(3), pages 449-474.
  7. Marcello Basili & Carlo Zappia, 2007. "The weight of argument and non-additive measures: a note," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 003, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
  8. Robert Shelburne, 2006. "A Utilitarian Welfare Analysis of Trade Liberalization," ECE Discussion Papers Series 2006_4, UNECE.
  9. Basili, Marcello & Zappia, Carlo, 2009. "Keynes's "non-numerical" probabilities and non-additive measures," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 419-430, June.
  10. Eichberger, Jurgen & Kelsey, David, 2000. "Non-Additive Beliefs and Strategic Equilibria," Games and Economic Behavior, Elsevier, vol. 30(2), pages 183-215, February.

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