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Dynamic decision making under ambiguity

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  • Konstantinos Georgalos

Abstract

Neoclassical economic theory assumes that when agents tackle dynamic decisions under ambiguity, preferences are represented by Expected Utility and prior beliefs are updated according to Bayes rule, upon the arrival of partial information. Nevertheless, when one considers non-neutral ambiguity attitudes, either the axiom of dynamic consistency or of consequentialism should be relaxed. We report the results of a new experiment, designed to investigate how people behave in a dynamic choice problem under ambiguity, where decisions are made both before and after the resolution of some uncertainty. We study which of the two rationality axioms people violate, along with the question of whether this violation is part of a conscious planning strategy or not. The combination of the two, allows us to classify subjects to three behavioural types: resolute, naïve and sophisticated. Using data from a portfolio choice experiment where ambiguity is represented in a transparent and non-manipulable way, we cannot reject the hypothesis of Bayesian updating for half of our experimental population. For ambiguity non-neutral subjects, we find that the majority are sophisticated, a few are naïve and few are resolute.

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  • Konstantinos Georgalos, 2016. "Dynamic decision making under ambiguity," Working Papers 112111041, Lancaster University Management School, Economics Department.
  • Handle: RePEc:lan:wpaper:112111041
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    as
    1. Gary Charness & Edi Karni & Dan Levin, 2013. "Ambiguity attitudes and social interactions: An experimental investigation," Journal of Risk and Uncertainty, Springer, vol. 46(1), pages 1-25, February.
    2. Eyal Ert & Stefan Trautmann, 2014. "Sampling experience reverses preferences for ambiguity," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 31-42, August.
    3. Wang, Tan, 2003. "Conditional preferences and updating," Journal of Economic Theory, Elsevier, vol. 108(2), pages 286-321, February.
    4. Trautmann, Stefan T. & Zeckhauser, Richard J., 2013. "Shunning uncertainty: The neglect of learning opportunities," Games and Economic Behavior, Elsevier, vol. 79(C), pages 44-55.
    5. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, May.
    6. Holt, Charles A. & Smith, Angela M., 2009. "An update on Bayesian updating," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 125-134, February.
    7. Nicholas Bardsley & Robin Cubitt & Graham Loomes & Peter Moffatt & Chris Starmer & Robert Sugden, 2009. "Experimental Economics: Rethinking the Rules," Economics Books, Princeton University Press, edition 1, number 9074.
    8. Michèle Cohen & Jean-Marc Tallon & Jean-Christophe Vergnaud, 2011. "An experimental investigation of imprecision attitude and its relation with risk attitude and impatience," Theory and Decision, Springer, vol. 71(1), pages 81-109, July.
    9. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.
    10. 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.
    11. Antonio Mele & Francesco Sangiorgi, 2015. "Uncertainty, Information Acquisition, and Price Swings in Asset Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1533-1567.
    12. Brice Corgnet & Praveen Kujal & David Porter, 2013. "Reaction to Public Information in Markets: How much does Ambiguity Matter?," Economic Journal, Royal Economic Society, vol. 123(569), pages 699-737, June.
    13. 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.
    14. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344, December.
    15. Gary Charness & Uri Gneezy, 2010. "Portfolio Choice And Risk Attitudes: An Experiment," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 133-146, January.
    16. John D. Hey & Noemi Pace, 2018. "The explanatory and predictive power of non two-stage-probability theories of decision making under ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 6, pages 139-167, World Scientific Publishing Co. Pte. Ltd..
    17. Paolo Ghirardato, 2002. "Revisiting Savage in a conditional world," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(1), pages 83-92.
    18. Ghirardato, Paolo & Maccheroni, Fabio & Marinacci, Massimo, 2004. "Differentiating ambiguity and ambiguity attitude," Journal of Economic Theory, Elsevier, vol. 118(2), pages 133-173, October.
    19. Uri Gneezy & Alex Imas & John List, 2015. "Estimating Individual Ambiguity Aversion: A Simple Approach," Artefactual Field Experiments 00588, The Field Experiments Website.
    20. John D. Hey & Gianna Lotito & Anna Maffioletti, 2018. "The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 8, pages 189-219, World Scientific Publishing Co. Pte. Ltd..
    21. Takashi Hayashi & Ryoko Wada, 2010. "Choice with imprecise information: an experimental approach," Theory and Decision, Springer, vol. 69(3), pages 355-373, September.
    22. Gary Charness & Dan Levin, 2005. "When Optimal Choices Feel Wrong: A Laboratory Study of Bayesian Updating, Complexity, and Affect," American Economic Review, American Economic Association, vol. 95(4), pages 1300-1309, September.
    23. Daniel R. Burghart & Thomas Epper & Ernst Fehr, 2015. "The ambiguity triangle: uncovering fundamental patterns of behavior under uncertainty," ECON - Working Papers 196, Department of Economics - University of Zurich.
    24. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency, Heterogeneity, and Granularity of Individual Behavior under Uncertainty," Economics Working Papers 0076, Institute for Advanced Study, School of Social Science.
    25. Loomes, Graham, 1991. "Evidence of a New Violation of the Independence Axiom," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 91-108, January.
    26. Wakker,Peter P., 2010. "Prospect Theory," Cambridge Books, Cambridge University Press, number 9780521765015.
    27. Antonio Mele & Francesco Sangiorgi, 2009. "Ambiguity, Information Acquisition and Price Swings in Asset Markets," FMG Discussion Papers dp633, Financial Markets Group.
    28. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    29. Schmeidler, David, 1989. "Subjective Probability and Expected Utility without Additivity," Econometrica, Econometric Society, vol. 57(3), pages 571-587, May.
    30. David Ahn & Syngjoo Choi & Douglas Gale & Shachar Kariv, 2014. "Estimating ambiguity aversion in a portfolio choice experiment," Quantitative Economics, Econometric Society, vol. 5, pages 195-223, July.
    31. Aurélien Baillon & Han Bleichrodt & Umut Keskin & Olivier L'Haridon & Author-Name: Chen Li, 2013. "Learning under ambiguity: An experiment using initial public offerings on a stock market," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201331, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    32. Marciano Siniscalchi, 2009. "Vector Expected Utility and Attitudes Toward Variation," Econometrica, Econometric Society, vol. 77(3), pages 801-855, May.
    33. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency and Heterogeneity of Individual Behavior under Uncertainty," American Economic Review, American Economic Association, vol. 97(5), pages 1921-1938, December.
    34. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    35. Graham Loomes & Ganna Pogrebna, 2014. "Measuring Individual Risk Attitudes when Preferences are Imprecise," Economic Journal, Royal Economic Society, vol. 0(576), pages 569-593, May.
    36. Amit Kothiyal & Vitalie Spinu & Peter Wakker, 2014. "An experimental test of prospect theory for predicting choice under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 1-17, February.
    37. McClennen,Edward F., 1990. "Rationality and Dynamic Choice," Cambridge Books, Cambridge University Press, number 9780521360470.
    38. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(3), pages 165-180.
    39. , & ,, 2007. "Updating preferences with multiple priors," Theoretical Economics, Econometric Society, vol. 2(3), September.
    40. Machina, Mark J, 1989. "Dynamic Consistency and Non-expected Utility Models of Choice under Uncertainty," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1622-1668, December.
    41. A. Nebout & D. Dubois, 2014. "When Allais meets Ulysses: Dynamic axioms and the common ratio effect," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 19-49, February.
    42. David Easley & Maureen O'Hara, 2009. "Ambiguity and Nonparticipation: The Role of Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1817-1843, May.
    43. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    44. Cesaltina Pacheco Pires, 2002. "A Rule For Updating Ambiguous Beliefs," Theory and Decision, Springer, vol. 53(2), pages 137-152, September.
    45. Antoine Nebout & Marc Willinger, 2014. "Are Non-Expected Utility individuals really Dynamically Inconsistent? Experimental Evidence," Working Papers 14-08, LAMETA, Universtiy of Montpellier, revised Jul 2014.
    46. Gary Charness & Edi Karni & Dan Levin, 2007. "Individual and group decision making under risk: An experimental study of Bayesian updating and violations of first-order stochastic dominance," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 129-148, October.
    47. Aurélien Baillon & Han Bleichrodt, 2015. "Testing Ambiguity Models through the Measurement of Probabilities for Gains and Losses," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 77-100, May.
    48. Jeong, Daehee & Kim, Hwagyun & Park, Joon Y., 2015. "Does ambiguity matter? Estimating asset pricing models with a multiple-priors recursive utility," Journal of Financial Economics, Elsevier, vol. 115(2), pages 361-382.
    49. Al-Najjar, Nabil I. & Weinstein, Jonathan, 2009. "Rejoinder: The €Œambiguity Aversion Literature: A Critical Assessmentâ€," Economics and Philosophy, Cambridge University Press, vol. 25(3), pages 357-369, November.
    50. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    51. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    52. John D. Hey & Luca Panaccione, 2018. "Dynamic decision making: what do people do?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 10, pages 235-273, World Scientific Publishing Co. Pte. Ltd..
    53. Steffen Andersen & John Fountain & Glenn Harrison & Arne Hole & E. Rutström, 2012. "Inferring beliefs as subjectively imprecise probabilities," Theory and Decision, Springer, vol. 73(1), pages 161-184, July.
    54. Al-Najjar, Nabil I. & Weinstein, Jonathan, 2009. "The Ambiguity Aversion Literature: A Critical Assessment," Economics and Philosophy, Cambridge University Press, vol. 25(3), pages 249-284, November.
    55. Carlo Kraemer & Martin Weber, 2004. "How Do People Take into Account Weight, Strength and Quality of Segregated vs. Aggregated Data? Experimental Evidence," Journal of Risk and Uncertainty, Springer, vol. 29(2), pages 113-142, September.
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    1. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.

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    More about this item

    Keywords

    Ambiguity; Subjective Beliefs; Dynamic Consistency; Consequentialism; Portfolio Choice; Experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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