IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/halshs-00348826.html
   My bibliography  Save this paper

Incentives to Learn Calibration : a Gender-Dependent Impact

Author

Listed:
  • Marie-Pierre Dargnies

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Guillaume Hollard

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Miscalibration can be defined as the fact that people think that their knowledge is more precise than it actually is. In a typical miscalibration experiment, subjects are asked to provide subjective confidence intervals. A very robust finding is that subjects provide too narrow intervals at the 90% level. As a result a lot less than 90% of correct answers fall inside the 90% intervals provided. As miscalibration is linked with bad results on a experimental financial market (Biais et al., 2005) and entrepreneurial success is positively correlated with good calibration (Regner et al., 2006), it appears interesting to look for a way to cure or at least reduce miscalibration. Previous attempts to remove the miscalibration bias relied on extremely long and tedious procedures. Here, we design an experimental setting that provides several different incentives, in particular strong monetary incentives ; i.e. that make miscalibration costly. Our main result is that a thirty-minute training session has an effect on men's calibration but no effect on women's.

Suggested Citation

  • Marie-Pierre Dargnies & Guillaume Hollard, 2008. "Incentives to Learn Calibration : a Gender-Dependent Impact," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00348826, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00348826
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00348826
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00348826/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Klayman, Joshua & Soll, Jack B. & Gonzalez-Vallejo, Claudia & Barlas, Sema, 1999. "Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 216-247, September.
    2. 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.
    3. Glaser, Markus & Langer, Thomas & Weber, Martin, 2005. "Overconfidence of professionals and lay men : individual differences within and between tasks?," Papers 05-25, Sonderforschungsbreich 504.
    4. 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.
    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. Madiès, Thierry & Villeval, Marie Claire & Wasmer, Malgorzata, 2013. "Intergenerational attitudes towards strategic uncertainty and competition: A field experiment in a Swiss bank," European Economic Review, Elsevier, vol. 61(C), pages 153-168.
    2. Michał Krawczyk, 2011. "Overconfident for real? Proper scoring for confidence intervals," Working Papers 2011-15, Faculty of Economic Sciences, University of Warsaw.

    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. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    2. Danková, Katarína & Servátka, Maroš, 2019. "Gender robustness of overconfidence and excess entry," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 179-199.
    3. Markus Glaser & Thomas Langer & Martin Weber, 2007. "On the Trend Recognition and Forecasting Ability of Professional Traders," Decision Analysis, INFORMS, vol. 4(4), pages 176-193, December.
    4. Marian Krajc, 2008. "Are the Unskilled Really That Unaware? Understanding Seemingly Biased Self-Assessments," CERGE-EI Working Papers wp373, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Christoph Gort & Mei Wang, 2010. "Overconfidence and Active Management," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 12, Edward Elgar Publishing.
    6. Ryvkin, Dmitry & Krajč, Marian & Ortmann, Andreas, 2012. "Are the unskilled doomed to remain unaware?," Journal of Economic Psychology, Elsevier, vol. 33(5), pages 1012-1031.
    7. Oriana Bandiera & Nidhi Parekh & Barbara Petrongolo & Michelle Rao, 2022. "Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments," Economica, London School of Economics and Political Science, vol. 89(S1), pages 38-70, June.
    8. Fellner-Röhling, Gerlinde & Krügel, Sebastian, 2014. "Judgmental overconfidence and trading activity," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 827-842.
    9. Andersson, Patric, 2005. "Overconfident but yet well-calibrated and underconfident : a research not on judgmental miscalibration and flawed self-assessment," Papers 05-37, Sonderforschungsbreich 504.
    10. Danz, David, 2020. "Never underestimate your opponent: Hindsight bias causes overplacement and overentry into competition," Games and Economic Behavior, Elsevier, vol. 124(C), pages 588-603.
    11. Itzhak Ben-David & John R. Graham, 2013. "Managerial Miscalibration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1547-1584.
    12. 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.
    13. Ludwig, Sandra & Fellner-Röhling, Gerlinde & Thoma, Carmen, 2017. "Do women have more shame than men? An experiment on self-assessment and the shame of overestimating oneself," European Economic Review, Elsevier, vol. 92(C), pages 31-46.
    14. Johansson Stenman, Olof & Nordblom, Katarina, 2010. "Are Men Really More Overconfident than Women? - A Natural Field Experiment on Exam Behavior," Working Papers in Economics 461, University of Gothenburg, Department of Economics.
    15. Theresa Michl & Stefan Taing, 2010. "An Economic and Neuroscientific Comparison of Strategic Decision-making," Chapters, in: Angela A. Stanton & Mellani Day & Isabell M. Welpe (ed.), Neuroeconomics and the Firm, chapter 10, Edward Elgar Publishing.
    16. Simon, Mark & Shrader, Rodney C., 2012. "Entrepreneurial actions and optimistic overconfidence: The role of motivated reasoning in new product introductions," Journal of Business Venturing, Elsevier, vol. 27(3), pages 291-309.
    17. Michailova, Julija, 2010. "Overconfidence and bubbles in experimental asset markets," MPRA Paper 26388, University Library of Munich, Germany.
    18. Kris Hardies & Diane Breesch & Joël Branson, 2011. "Male and female auditors' overconfidence," Managerial Auditing Journal, Emerald Group Publishing, vol. 27(1), pages 105-118, November.
    19. Michailova, Julija, 2010. "Development of the overconfidence measurement instrument for the economic experiment," MPRA Paper 26384, University Library of Munich, Germany.
    20. 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.

    More about this item

    Keywords

    gender effect; Miscalibration; overconfidence; incentives; gender effect.; surconfiance; incitations; effet de genre.;
    All these keywords.

    JEL classification:

    • 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

    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:hal:cesptp:halshs-00348826. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.