IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10545.html
   My bibliography  Save this paper

True Overconfidence, Revealed through Actions: An Experiment

Author

Listed:
  • Cheung, Stephen L.

    (University of Sydney)

  • Johnstone, Lachlan

    (University of Sydney)

Abstract

We report an experiment that infers true overconfidence in relative ability through actions, as opposed to reported beliefs. Subjects choose how to invest earnings from a skill task when the returns depend solely upon risk, or both risk and relative placement, enabling joint estimation of individual risk preferences and implied subjective beliefs of placing in the top half. We find evidence of aggregate overconfidence only in a treatment that receives minimal feedback on performance in a trial task. In treatments that receive more detailed feedback, aggregate overconfidence is not observed although identifiable segments of overand underconfident individuals persist.

Suggested Citation

  • Cheung, Stephen L. & Johnstone, Lachlan, 2017. "True Overconfidence, Revealed through Actions: An Experiment," IZA Discussion Papers 10545, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10545
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10545.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moore, Don A. & Cain, Daylian M., 2007. "Overconfidence and underconfidence: When and why people underestimate (and overestimate) the competition," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 197-213, July.
    2. Steffen Andersen & John Fountain & Glenn Harrison & E. Rutström, 2014. "Estimating subjective probabilities," Journal of Risk and Uncertainty, Springer, vol. 48(3), pages 207-229, June.
    3. Markus M. Möbius & Muriel Niederle & Paul Niehaus & Tanya S. Rosenblat, 2022. "Managing Self-Confidence: Theory and Experimental Evidence," Management Science, INFORMS, vol. 68(11), pages 7793-7817, November.
    4. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    5. 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.
    6. Edi Karni, 2009. "A Mechanism for Eliciting Probabilities," Econometrica, Econometric Society, vol. 77(2), pages 603-606, March.
    7. 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.
    8. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    9. Helga Fehr-Duda & Thomas Epper, 2012. "Probability and Risk: Foundations and Economic Implications of Probability-Dependent Risk Preferences," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 567-593, July.
    10. Price, Paul C., 1998. "Effects of a Relative-Frequency Elicitation Question on Likelihood Judgment Accuracy: The Case of External Correspondence, , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(3), pages 277-297, December.
    11. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    12. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    13. Supreet Kaur & Michael Kremer & Sendhil Mullainathan, 2015. "Self-Control at Work," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1227-1277.
    14. Merkle, Christoph & Weber, Martin, 2011. "True overconfidence: The inability of rational information processing to account for apparent overconfidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 116(2), pages 262-271.
    15. Bruhin, Adrian & Santos-Pinto, Luís & Staubli, David, 2018. "How do beliefs about skill affect risky decisions?," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 350-371.
    16. 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.
    17. Stephen V. Burks & Jeffrey P. Carpenter & Lorenz Goette & Aldo Rustichini, 2013. "Overconfidence and Social Signalling," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 949-983.
    18. 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.
    19. James Andreoni & Charles Sprenger, 2012. "Risk Preferences Are Not Time Preferences," American Economic Review, American Economic Association, vol. 102(7), pages 3357-3376, December.
    20. Ulrike Malmendier & Geoffrey Tate, 2015. "Behavioral CEOs: The Role of Managerial Overconfidence," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 37-60, Fall.
    21. Stephen L. Cheung, 2015. "Risk Preferences Are Not Time Preferences: On the Elicitation of Time Preference under Conditions of Risk: Comment," American Economic Review, American Economic Association, vol. 105(7), pages 2242-2260, July.
    22. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    23. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd, 2014. "Eliciting subjective probabilities with binary lotteries," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 128-140.
    24. Michael D. Grubb, 2015. "Overconfident Consumers in the Marketplace," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 9-36, Fall.
    25. Erik Hoelzl & Aldo Rustichini, 2005. "Overconfident: Do You Put Your Money On It?," Economic Journal, Royal Economic Society, vol. 115(503), pages 305-318, April.
    26. Jean-Pierre Benoît & Juan Dubra & Don A. Moore, 2015. "Does The Better-Than-Average Effect Show That People Are Overconfident?: Two Experiments," Journal of the European Economic Association, European Economic Association, vol. 13(2), pages 293-329, April.
    27. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
    28. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    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. Theo Offerman & Joep Sonnemans & Gijs Van De Kuilen & Peter P. Wakker, 2009. "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1461-1489.
    31. Hirshleifer, David & Daniel, Kent, 2015. "Overconfident investors, predictable returns, and excessive trading," MPRA Paper 69002, University Library of Munich, Germany.
    32. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    33. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    34. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    35. David Eil & Justin M. Rao, 2011. "The Good News-Bad News Effect: Asymmetric Processing of Objective Information about Yourself," American Economic Journal: Microeconomics, American Economic Association, vol. 3(2), pages 114-138, May.
    36. Heger, Stephanie A. & Papageorge, Nicholas W., 2018. "We should totally open a restaurant: How optimism and overconfidence affect beliefs," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 177-190.
    37. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
    38. Joyce E. Berg & Lane A. Daley & John W. Dickhaut & John R. O'Brien, 1986. "Controlling Preferences for Lotteries on Units of Experimental Exchange," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 281-306.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kai Barron & Christina Gravert, 2022. "Confidence and Career Choices: An Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 35-68, January.
    2. Kettlewell, Nathan & Tymula, Agnieszka, 2021. "The Australian Twins Economic Preferences Survey," IZA Discussion Papers 14702, Institute of Labor Economics (IZA).
    3. Barron, Kai & Gravert, Christina, 2018. "Beliefs and actions: How a shift in confidence affects choices," MPRA Paper 84743, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bruhin, Adrian & Santos-Pinto, Luís & Staubli, David, 2018. "How do beliefs about skill affect risky decisions?," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 350-371.
    2. 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.
    3. Murad, Zahra & Starmer, Chris, 2021. "Confidence snowballing and relative performance feedback," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 550-572.
    4. Juan Dubra & Jean-Pierre Benoît & Giorgia Romagnoli, 2019. "Belief elicitation when more than money matters," Documentos de Trabajo/Working Papers 1901, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    5. Raphael Guber & Martin G. Kocher & Joachim Winter, 2021. "Does having insurance change individuals' self‐confidence?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 429-442, June.
    6. Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
    7. Kai Barron & Christina Gravert, 2022. "Confidence and Career Choices: An Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 35-68, January.
    8. Bucciol, Alessandro & Quercia, Simone & Sconti, Alessia, 2021. "Promoting financial literacy among the elderly: Consequences on confidence," Journal of Economic Psychology, Elsevier, vol. 87(C).
    9. Vincent Laferrière & David Staubli & Christian Thöni, 2023. "Explaining Excess Entry in Winner-Take-All Markets," Management Science, INFORMS, vol. 69(2), pages 1050-1069, February.
    10. Cacault, Maria Paula & Grieder, Manuel, 2019. "How group identification distorts beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 63-76.
    11. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    12. Markus M. Möbius & Muriel Niederle & Paul Niehaus & Tanya S. Rosenblat, 2022. "Managing Self-Confidence: Theory and Experimental Evidence," Management Science, INFORMS, vol. 68(11), pages 7793-7817, November.
    13. Peter Schwardmann & Joël van der Weele, 2016. "Deception and Self-Deception," Tinbergen Institute Discussion Papers 16-012/I, Tinbergen Institute.
    14. Jean-Pierre Benoît & Juan Dubra & Giorgia Romagnoli, 2022. "Belief Elicitation When More than Money Matters: Controlling for "Control"," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 837-888, August.
    15. Merkle, Christoph, 2017. "Financial overconfidence over time: Foresight, hindsight, and insight of investors," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 68-87.
    16. Stephen L. Cheung, 2020. "Eliciting utility curvature in time preference," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 493-525, June.
    17. Fellner-Röhling, Gerlinde & Hromek, Kristijan & Kleinknecht, Janina & Ludwig, Sandra, 2023. "How to counteract biased self-assessments? An experimental investigation of reactions to social information," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 1-25.
    18. Yanchun Jin & Ryo Okui, 2020. "Testing for overconfidence statistically: A moment inequality approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 879-892, November.
    19. Heger, Stephanie A. & Papageorge, Nicholas W., 2018. "We should totally open a restaurant: How optimism and overconfidence affect beliefs," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 177-190.
    20. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    true overconfidence; overplacement; subjective beliefs; joint estimation;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp10545. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.