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  • Jürgen Eichberger

    () (University of Heidelberg, Department of Economics)

  • David Kelsey

    () (University of Exeter, School of Business and Economics)


Ambiguity refers to a decision situation under uncertainty when there is incomplete information about the likelihood of events. Different formal models of this notion have been developed with differing implications about the representation of ambiguity and ambiguity aversion.

Suggested Citation

  • Jürgen Eichberger & David Kelsey, 2007. "Ambiguity," Working Papers 0448, University of Heidelberg, Department of Economics, revised Jul 2007.
  • Handle: RePEc:awi:wpaper:0448

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    References listed on IDEAS

    1. Kelsey David & Milne Frank, 1995. "The Arbitrage Pricing Theorem with Non-expected Utility Preferences," Journal of Economic Theory, Elsevier, vol. 65(2), pages 557-574, April.
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    4. repec:dau:papers:123456789/5393 is not listed on IDEAS
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    16. Jürgen Eichberger & David Kelsey & Burkhard Schipper, 2008. "Granny Versus Game Theorist: Ambiguity in Experimental Games," Theory and Decision, Springer, vol. 64(2), pages 333-362, March.
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    25. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
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    30. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    31. Rose-Anne Dana, 2004. "Ambiguity, uncertainty aversion and equilibrium welfare," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 23(3), pages 569-587, March.
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    Cited by:

    1. Sandra Ludwig & Julia Nafziger, 2007. "Do You Know That I Am Biased? An Experiment," Bonn Econ Discussion Papers bgse11_2007, University of Bonn, Germany.

    More about this item


    uncertainty; ambiguity; ambiguity attitude;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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