IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v33y2012i6p1240-1246.html
   My bibliography  Save this article

Incentives and timing in relative performance judgments: A field experiment

Author

Listed:
  • Krawczyk, Michał

Abstract

Several studies have identified the “better than average” effect – the tendency of most people to think they are better than most other people on most dimensions. The effect would have profound consequences, such as over-trading in financial markets. The findings are predominantly based on non-incentivized, non-verifiable self-reports. The current study looks at the impact of incentives to judge one’s abilities accurately in a framed field experiment. Nearly 550 students were asked to predict whether they would do better or worse than average in an exam. The most important findings are that subjects tend to show more confidence when incentivized and when asked before the exam (especially long before the exam) rather than afterwards. The first effect shows up particularly in females.

Suggested Citation

  • Krawczyk, Michał, 2012. "Incentives and timing in relative performance judgments: A field experiment," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1240-1246.
  • Handle: RePEc:eee:joepsy:v:33:y:2012:i:6:p:1240-1246
    DOI: 10.1016/j.joep.2012.09.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487012001067
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joep.2012.09.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yates, J. Frank & Lee, Ju-Whei & Bush, Julie G G., 1997. "General Knowledge Overconfidence: Cross-National Variations, Response Style, and "Reality"," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(2), pages 87-94, May.
    2. 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.
    3. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    4. Ulrike Malmendier & Geoffrey Tate, 2005. "CEO Overconfidence and Corporate Investment," Journal of Finance, American Finance Association, vol. 60(6), pages 2661-2700, December.
    5. 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.
    6. Yoram Kroll & Liema Davidovitz, 2003. "Inequality Aversion versus Risk Aversion," Economica, London School of Economics and Political Science, vol. 70(277), pages 19-29, February.
    7. Larrick, Richard P. & Burson, Katherine A. & Soll, Jack B., 2007. "Social comparison and confidence: When thinking you're better than average predicts overconfidence (and when it does not)," Organizational Behavior and Human Decision Processes, Elsevier, vol. 102(1), pages 76-94, January.
    8. 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.
    9. Young Park & Luís Santos-Pinto, 2010. "Overconfidence in tournaments: evidence from the field," Theory and Decision, Springer, vol. 69(1), pages 143-166, July.
    10. van Dijk, Wilco W. & Zeelenberg, Marcel & van der Pligt, Joop, 2003. "Blessed are those who expect nothing: Lowering expectations as a way of avoiding disappointment," Journal of Economic Psychology, Elsevier, vol. 24(4), pages 505-516, August.
    11. Krawczyk, Michal, 2010. "A glimpse through the veil of ignorance: Equality of opportunity and support for redistribution," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 131-141, February.
    12. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    13. 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.
    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. Michał Krawczyk & Maciej Wilamowski, 2022. "Calibration and incentives: evidence from contract bridge," Working Papers 2022-06, Faculty of Economic Sciences, University of Warsaw.
    2. Michał Krawczyk & Maciej Wilamowski, 2015. "Are we all overconfident in the long run? Evidence from one million marathon participants," Working Papers 2015-01, Faculty of Economic Sciences, University of Warsaw.
    3. René Böheim & Mario Lackner & Wilhelm Wagner, 2022. "Raising the Bar: Causal Evidence on Gender Differences in Risk-Taking From a Natural Experiment," Journal of Sports Economics, , vol. 23(4), pages 460-478, May.

    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. Michal Krawczyk, 2010. "Incentives and Timing in Relative Performance Judgments. A Field Experiment," Framed Field Experiments 00692, The Field Experiments Website.
    2. Merkle, Christoph, 2017. "Financial overconfidence over time: Foresight, hindsight, and insight of investors," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 68-87.
    3. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    4. Acker, Daniella & Duck, Nigel W., 2008. "Cross-cultural overconfidence and biased self-attribution," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1815-1824, October.
    5. 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.
    6. Kennedy, Jessica A. & Anderson, Cameron & Moore, Don A., 2013. "When overconfidence is revealed to others: Testing the status-enhancement theory of overconfidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 122(2), pages 266-279.
    7. 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.
    8. Helen X. H. Bao & Steven Haotong Li, 2016. "Overconfidence And Real Estate Research: A Survey Of The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    9. Oliver Gloede & Lukas Menkhoff, 2014. "Financial Professionals' Overconfidence: Is It Experience, Function, or Attitude?," European Financial Management, European Financial Management Association, vol. 20(2), pages 236-269, March.
    10. Dickinson, David L. & Oxoby, Robert J., 2011. "Cognitive dissonance, pessimism, and behavioral spillover effects," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 295-306, June.
    11. De Paola, Maria & Gioia, Francesca & Scoppa, Vincenzo, 2014. "Overconfidence, omens and gender heterogeneity: Results from a field experiment," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 237-252.
    12. Isabelle Vialle & Luis Santos-Pinto & Jean-Louis Rullière, 2011. "Self-Confidence and Teamwork : An Experimental Test," Working Papers 1126, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    13. Don A. Moore, 2007. "When good = better than average," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 2, pages 277-291, October.
    14. 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.
    15. 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.
    16. 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.
    17. repec:cup:judgdm:v:2:y:2007:i::p:277-291 is not listed on IDEAS
    18. Don A. Moore & Samuel A. Swift & Angela Minster & Barbara Mellers & Lyle Ungar & Philip Tetlock & Heather H. J. Yang & Elizabeth R. Tenney, 2017. "Confidence Calibration in a Multiyear Geopolitical Forecasting Competition," Management Science, INFORMS, vol. 63(11), pages 3552-3565, November.
    19. Carmen Thoma, 2016. "Under- versus overconfidence: an experiment on how others perceive a biased self-assessment," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 218-239, March.
    20. Moore, Don A., 2007. "Not so above average after all: When people believe they are worse than average and its implications for theories of bias in social comparison," Organizational Behavior and Human Decision Processes, Elsevier, vol. 102(1), pages 42-58, January.
    21. Hwang, Soosung & Cho, Youngha & Noh, Sanha, 2022. "The cost of overconfidence in public information," International Review of Financial Analysis, Elsevier, vol. 79(C).

    More about this item

    Keywords

    Better-than-average effect; Overconfidence; Underconfidence; Incentives; Gender differences;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:eee:joepsy:v:33:y:2012:i:6:p:1240-1246. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joep .

    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.