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Measuring and Disentangling Ambiguity and Confidence in the Lab

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  • Daniela Di Cagno

    (Department of Economics and Finance, Luiss Guido Carli, 00198 Rome, Italy)

  • Daniela Grieco

    (Department of Economics, Bocconi University, 20136 Milano, Italy)

Abstract

In this paper we present a novel experimental procedure aimed at better understanding the interaction between confidence and ambiguity attitudes in individual decision making. Different ambiguity settings not only can be determined by the lack of information in possible scenarios completely “external” to the decision-maker, but can also be a consequence of the decision maker’s ignorance about her own characteristics or performance and, thus, deals with confidence. We design a multistage experiment where subjects face different sources of ambiguity and where we are able to control for self-assessed levels of competence. By means of a Principal Component Analysis, we obtain a set of measures of “internal” and “external” ambiguity aversion. Our regressions show that the two measures are significantly correlated at the subject level, that the subjects’ “internal” ambiguity aversion increases in performance in the high-competence task and that “external” ambiguity aversion moderately increases in earnings. Self-selection does not play any role.

Suggested Citation

  • Daniela Di Cagno & Daniela Grieco, 2019. "Measuring and Disentangling Ambiguity and Confidence in the Lab," Games, MDPI, Open Access Journal, vol. 10(1), pages 1-22, February.
  • Handle: RePEc:gam:jgames:v:10:y:2019:i:1:p:9-:d:206940
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    1. Johanna Etner & Meglena Jeleva & Jean‐Marc Tallon, 2012. "Decision Theory Under Ambiguity," Journal of Economic Surveys, Wiley Blackwell, vol. 26(2), pages 234-270, April.
    2. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    3. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 631-645.
    4. 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.
    5. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    6. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    7. 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..
    8. Cesarini, David & Sandewall, Orjan & Johannesson, Magnus, 2006. "Confidence interval estimation tasks and the economics of overconfidence," Journal of Economic Behavior & Organization, Elsevier, vol. 61(3), pages 453-470, November.
    9. Attanasi, Giuseppe & Corazzini, Luca & Passarelli, Francesco, 2017. "Voting as a lottery," Journal of Public Economics, Elsevier, vol. 146(C), pages 129-137.
    10. Zahra Murad & Martin Sefton & Chris Starmer, 2016. "How do risk attitudes affect measured confidence?," Journal of Risk and Uncertainty, Springer, vol. 52(1), pages 21-46, February.
    11. Jeremy Clark & Lana Friesen, 2009. "Overconfidence in Forecasts of Own Performance: An Experimental Study," Economic Journal, Royal Economic Society, vol. 119(534), pages 229-251, January.
    12. Andrew Speirs‐Bridge & Fiona Fidler & Marissa McBride & Louisa Flander & Geoff Cumming & Mark Burgman, 2010. "Reducing Overconfidence in the Interval Judgments of Experts," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 512-523, March.
    13. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    14. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    15. Stefan T. Trautmann & Ferdinand M. Vieider & Peter P. Wakker, 2011. "Preference Reversals for Ambiguity Aversion," Management Science, INFORMS, vol. 57(7), pages 1320-1333, July.
    16. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency, Heterogeneity, and Granularity of Individual Behavior under Uncertainty," Levine's Bibliography 321307000000000793, UCLA Department of Economics.
    17. Giuseppe Attanasi & Christian Gollier & Aldo Montesano & Noemi Pace, 2014. "Eliciting ambiguity aversion in unknown and in compound lotteries: a smooth ambiguity model experimental study," Theory and Decision, Springer, vol. 77(4), pages 485-530, December.
    18. Anna Maffioletti & Ulrich Schmidt & Carsten Schröder, 2009. "The effect of elicitation methods on ambiguity aversion: an experimental investigation," Economics Bulletin, AccessEcon, vol. 29(2), pages 638-643.
    19. 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..
    20. 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.
    21. Giuseppe Attanasi & Luca CORAZZINI & Nikolaos GEORGANTZIS & Francesco PASSARELLI, 2009. "Risk Aversion, Over-Confidence and Private Information as determinants of Majority Thresholds," LERNA Working Papers 09.26.302, LERNA, University of Toulouse.
    22. Victor Richmond R. Jose & Robert L. Winkler, 2009. "Evaluating Quantile Assessments," Operations Research, INFORMS, vol. 57(5), pages 1287-1297, October.
    23. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    24. D. Urbig & J. Stauf & U. Weitzel, 2009. "What is your level of overconfidence? A strictly incentive compatible measurement of absolute and relative overconfidence," Working Papers 09-20, Utrecht School of Economics.
    25. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    26. Shyti , Anisa, 2013. "Over-Confidence and Entrepreneurial Choice Under Ambiguity," HEC Research Papers Series 982, HEC Paris.
    27. Pavlo Blavatskyy, 2009. "Betting on own knowledge: Experimental test of overconfidence," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 39-49, February.
    28. Menachem Brenner & Yehuda Izhakian & Orly Sade, 2011. "Ambiguity and Overconfidence," Working Papers 11-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    29. Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
    30. Grieco, Daniela & Hogarth, Robin M., 2009. "Overconfidence in absolute and relative performance: The regression hypothesis and Bayesian updating," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 756-771, October.
    31. Anisa Shyti, 2013. "Over-Confidence and Entrepreneurial Choice Under Ambiguity," Working Papers hal-01947464, HAL.
    32. James Andreoni & John Miller, 2002. "Giving According to GARP: An Experimental Test of the Consistency of Preferences for Altruism," Econometrica, Econometric Society, vol. 70(2), pages 737-753, March.
    33. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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