Assessing Multiple Prior Models of Behaviour under Ambiguity
AbstractThe recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets: those involving multiple priors (in which the probabilities of the various events are not known but probabilities can be attached to the various possible values for the probabilities) and those not involving multiple priors. This paper concentrates on the first set and provides an experimental investigation into recently proposed theories. Using an appropriate experimental interface, in which the probabilities on the various possibilities are explicitly stated, we examine the fitted and predictive power of the various theories. We first estimate subject-by-subject, and then we estimateand predict using a mixture model over the contending theories. The individual estimates suggest that 25% of our 149 subjects have behaviour consistent with Expected Utility, 54% with the Smooth Model (of Klibanoff et al, 2005), 12% with Rank Dependent Expected Utility and 9% with the Alpha Model (of Ghirardato et al 2004); these figures are very close to the mixing proportions obtained from the mixture estimates. However, if we classify our subjects through the posterior probabilities (given all the evidence) of each of them being of the various types: using the estimates we get 38%, 19%, 28% and 16% (for EU, Smooth, Rank Dependent and Alpha); while using the predictions 36%, 19%, 33% and 11%. Interestingly the older models (EU and RD) seem to fare relatively better, suggesting that representing ambiguity through multiple priors is perceived by subjects as risk, rather than ambiguity
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Bibliographic InfoPaper provided by Department of Economics, University of York in its series Discussion Papers with number 12/01.
Date of creation: Jan 2012
Date of revision:
Contact details of provider:
Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
Web page: http://www.york.ac.uk/economics/
More information through EDIRC
Alpha Model; Ambiguity; Expected Utility; Mixture Models; Rank Dependent Expected Utility; Smooth Model.;
Other versions of this item:
- Anna Conte & John Hey, 2013. "Assessing multiple prior models of behaviour under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 46(2), pages 113-132, April.
- Ana Conte & John D. Hey, 2011. "Assessing Multiple Prior Models of Behaviour under Ambiguity," Jena Economic Research Papers 2011-068, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
- 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
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-01-25 (All new papers)
- NEP-EXP-2012-01-25 (Experimental Economics)
- NEP-UPT-2012-01-25 (Utility Models & Prospect Theory)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-91, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Sujoy Mukerji & Peter Klibanoff, 2002.
"A Smooth Model of Decision,Making Under Ambiguity,"
Economics Series Working Papers
113, University of Oxford, Department of Economics.
- Ghirardato, Paolo & Maccheroni, Fabio & Marinacci, Massimo, 2004. "Differentiating ambiguity and ambiguity attitude," Journal of Economic Theory, Elsevier, vol. 118(2), pages 133-173, October.
- Andersen, Steffen & Fountain, John & Harrison, Glenn W. & Rutström, Elisabet E., 2009. "Estmating Aversion to Uncertainty," Working Papers 07-2009, Copenhagen Business School, Department of Economics.
- Ben Greiner, 2004. "The Online Recruitment System ORSEE 2.0 - A Guide for the Organization of Experiments in Economics," Working Paper Series in Economics 10, University of Cologne, Department of Economics.
- Halevy, Yoram, 2005.
"Ellsberg Revisited: an Experimental Study,"
Microeconomics.ca working papers
halevy-05-07-26-11-51-13, Vancouver School of Economics, revised 25 Feb 2014.
- John Hey & Gianna Lotito & Anna Maffioletti, 2010.
"The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity,"
Journal of Risk and Uncertainty,
Springer, vol. 41(2), pages 81-111, October.
- John D Hey & Gianna Lotito & Anna Maffioletti, 2008. "The Descriptive and Predictive Adequacy of Theories of Decision Making Under Uncertainty/Ambiguity," Discussion Papers 08/04, Department of Economics, University of York.
- Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
- Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
- David Ahn & Syngjoo Choi & Douglas Gale & Shachar Kariv, 2008. "Estimating Ambiguity Aversion in a Portfolio Choice Experiment," Levine's Working Paper Archive 122247000000001989, David K. Levine.
- Anna Conte & John D Hey & Peter G Moffatt, 2007.
"Mixture Models of Choice Under Risk,"
07/06, Department of Economics, University of York.
- Attanasi, Giuseppe & Gollier, Christian & Montesano, Aldo & Pace, Noémie, 2012.
"Eliciting ambiguity aversion in unknown and in compound lotteries: A KMM experimental approach,"
IDEI Working Papers
744, Institut d'Économie Industrielle (IDEI), Toulouse.
- Attanasi, Giuseppe & Gollier, Christian & Montesano, Aldo & Pace, NoÃ©mie, 2012. "Eliciting ambiguity aversion in unknown and in compound lotteries: A KMM experimental approach," LERNA Working Papers 12.21.378, LERNA, University of Toulouse.
- Noemi Pace & Giuseppe Attanasi & Christian Gollier & Aldo Montesano, 2012. "Eliciting ambiguity aversion in unknown and in compound lotteries: A KMM experimental approach," Working Papers 2012_23, Department of Economics, University of Venice "Ca' Foscari".
- Attanasi, Giuseppe & Gollier, Christian & Montesano, Aldo & Pace, Noémie, 2012. "Eliciting ambiguity aversion in unknown and in compound lotteries: A KMM experimental approach," TSE Working Papers 12-338, Toulouse School of Economics (TSE).
- Sujoy Mukerji & Robin Cubitt & Gijs van de Kuilen, 2014. "Discriminating between Models of Ambiguity Attitude: A Qualitative Test," Economics Series Working Papers 692, University of Oxford, Department of Economics.
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