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What Determines the Shape of the Probability Weighting Function?

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Abstract

When valuing risky prospects, people typically overweight small probabilities and underweight medium and large probabilities, but there is vast heterogeneity in individual behavior. We explore the relationship between person-specific probability weights, estimated from investment decisions in a laboratory experiment, and personal characteristics. We find considerable interaction effects with gender. While women’s probability weighting is strongly and significantly susceptible to mood states, men’s is not. Moreover, we show that cheerful and optimistic people weight probabilities of investment gains more favorably than do pessimistic people. People who calculate expected payoffs are less prone to probability distortions than those who do not use a lottery’s expected value as a decision criterion. None of the factors studied impact subjects’ valuations of monetary outcomes.

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  • Helga Fehr-Duda & Marc Schürer & Renate Schubert, 2006. "What Determines the Shape of the Probability Weighting Function?," CER-ETH Economics working paper series 06/54, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:06-54
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    1. Lattimore, Pamela K. & Baker, Joanna R. & Witte, Ann D., 1992. "The influence of probability on risky choice: A parametric examination," Journal of Economic Behavior & Organization, Elsevier, vol. 17(3), pages 377-400, May.
    2. Walther, Herbert, 2003. "Normal-randomness expected utility, time preference and emotional distortions," Journal of Economic Behavior & Organization, Elsevier, vol. 52(2), pages 253-266, October.
    3. Nathalie Etchart-Vincent, 2004. "Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses," Journal of Risk and Uncertainty, Springer, vol. 28(3), pages 217-235, May.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    7. Pamela K. Lattimore & Joanna R. Baker & A. Dryden Witte, 1992. "The Influence Of Probability on Risky Choice: A parametric Examination," NBER Technical Working Papers 0081, National Bureau of Economic Research, Inc.
    8. George Wu & Richard Gonzalez, 1999. "Nonlinear Decision Weights in Choice Under Uncertainty," Management Science, INFORMS, vol. 45(1), pages 74-85, January.
    9. Eckel, Catherine C. & Grossman, Philip J., 2008. "Differences in the Economic Decisions of Men and Women: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 57, pages 509-519, Elsevier.
    10. Kliger, Doron & Levy, Ori, 2003. "Mood-induced variation in risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 573-584, December.
    11. Matthias Gysler & Jamie Kruse & Renate Schubert, 2002. "Ambiguity and Gender Differences in Financial Decision Making: An Experimental Examination of Competence and Confidence Effects," CER-ETH Economics working paper series 02/23, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    12. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    13. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
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    1. The economic cost of the X Factor
      by chris dillow in Stumbling and Mumbling on 2011-11-23 20:33:46

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    2. Alexander Harin, 2006. "Principle of Uncertain Future," Microeconomics harin_alexander.34115-061, Socionet.
    3. Lepori, Gabriele M., 2016. "Air pollution and stock returns: Evidence from a natural experiment," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 25-42.
    4. Harin, Alexander, 2007. "Principle of uncertain future and utility," MPRA Paper 1959, University Library of Munich, Germany.

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    Keywords

    Probability Weighting Function; Prospect Theory; Risk Aversion; Gender Differences;
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