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An Experimental Investigation of Alternatives to Expected Utility Using Pricing Data

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  • Morone, Andrea
  • Schmidt, Ulrich

Abstract

Experimental research on decision making under risk has until now always employed choice data in order to evaluate the empirical performance of expected utility and the alternative nonexpected utility theories. The present paper performs a similar analysis which relies on pricing data instead of choice data. Since pricing data lead in many cases to a different ordering of lotteries than choices (e.g. the preference reversal phenomenon) our analysis may have fundamental different results than preceding investigations. We elicit three different types of pricing data: willingness-to-pay, willingness-to-accept and certainty equivalents under the Becker-DeGroot-Marschak (BDM) incentive mechanism. One of our main result shows that the comparative performance of the single theories differs significantly under these three types of pricing data.

Suggested Citation

  • Morone, Andrea & Schmidt, Ulrich, 2006. "An Experimental Investigation of Alternatives to Expected Utility Using Pricing Data," Economics Working Papers 2006-08, Christian-Albrechts-University of Kiel, Department of Economics.
  • Handle: RePEc:zbw:cauewp:4759
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    References listed on IDEAS

    as
    1. John Hey & Andrea Morone & Ulrich Schmidt, 2009. "Noise and bias in eliciting preferences," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 213-235, December.
    2. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    3. Andrea Morone, 2008. "Comparison of Mean-Variance Theory and Expected-Utility Theory through a Laboratory Experiment," Economics Bulletin, AccessEcon, vol. 3(40), pages 1-7.
    4. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    5. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-1289, November.
    6. 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.
    7. Gul, Faruk, 1991. "A Theory of Disappointment Aversion," Econometrica, Econometric Society, vol. 59(3), pages 667-686, May.
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    Citations

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    Cited by:

    1. Morone, Andrea, 2010. "On price data elicitation: A laboratory investigation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(5), pages 540-545, October.
    2. Morone, Andrea & Temerario, Tiziana, 2015. "Eliciting Preferences Over Risk: An Experiment," MPRA Paper 68519, University Library of Munich, Germany.
    3. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.
    4. Abdellaoui, Mohammed & Bleichrodt, Han, 2007. "Eliciting Gul's theory of disappointment aversion by the tradeoff method," Journal of Economic Psychology, Elsevier, vol. 28(6), pages 631-645, December.
    5. Morone, Andrea & Ozdemir, Ozlem, 2012. "Black swan protection: an experimental investigation," MPRA Paper 38842, University Library of Munich, Germany.
    6. Meroz, Yael & Morone, Andrea & Morone, Piergiuseppe, 2009. "Eliciting environmental preferences of Ghanaians in the laboratory: An incentive-compatible experiment," MPRA Paper 17107, University Library of Munich, Germany.
    7. Temerario, Tiziana, 2014. "Individual and Group Behaviour Toward Risk: A Short Survey," MPRA Paper 58079, University Library of Munich, Germany.
    8. Zonna, Davide, 2016. "Sprechi di cibo e tentativi di riduzione. Un caso sperimentale [Avoiding food waste. A field experiment]," MPRA Paper 76097, University Library of Munich, Germany.
    9. M. Levati & Andrea Morone & Annamaria Fiore, 2009. "Voluntary contributions with imperfect information: An experimental study," Public Choice, Springer, vol. 138(1), pages 199-216, January.

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    More about this item

    Keywords

    expected utility; non-expected utility; experiments; WTP; WTA; BDM;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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