IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v42y2014icp52-62.html
   My bibliography  Save this article

Overconfidence bias and conjunction fallacy in predicting outcomes of football matches

Author

Listed:
  • Erceg, Nikola
  • Galić, Zvonimir

Abstract

The aim of this study was to explore the occurrence of the overconfidence bias and the conjunction fallacy in betting behavior among frequent and sporadic bettors and to test whether it was influenced by the task format (probability vs. frequencies). Frequent bettors (N=67) and sporadic bettors (N=63) estimated whether the bets on football games presented to them via an on-line questionnaire would be successful. The bets consisted of singles (one match outcomes) and conjunctions (two matches outcomes), and were presented either in probability or frequency terms. Both frequent and sporadic bettors showed similar levels of the overconfidence bias. However, the frequent bettors made the conjunction fallacy more often than the sporadic bettors. The presentation of the task in the frequency terms significantly reduced the overconfidence bias in comparison to the evaluations in probability terms, but left the conjunction fallacy unaffected.

Suggested Citation

  • Erceg, Nikola & Galić, Zvonimir, 2014. "Overconfidence bias and conjunction fallacy in predicting outcomes of football matches," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 52-62.
  • Handle: RePEc:eee:joepsy:v:42:y:2014:i:c:p:52-62
    DOI: 10.1016/j.joep.2013.12.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487013001396
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joep.2013.12.003?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. Charles S. Taber & Milton Lodge, 2006. "Motivated Skepticism in the Evaluation of Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 755-769, July.
    2. Nilsson, Håkan & Andersson, Patric, 2010. "Making the seemingly impossible appear possible: Effects of conjunction fallacies in evaluations of bets on football games," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 172-180, April.
    3. Andersson, Patric & Ekman, Mattias & Edman, Jan, 2003. "Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer," SSE/EFI Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.
    4. Brenner, Lyle A. & Koehler, Derek J. & Liberman, Varda & Tversky, Amos, 1996. "Overconfidence in Probability and Frequency Judgments: A Critical Examination," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(3), pages 212-219, March.
    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. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
    2. Ó Ceallaigh, Diarmaid & Timmons, Shane & Robertson, Deirdre & Lunn, Pete, 2023. "Problem gambling: A narrative review of important policy-relevant issues," Research Series, Economic and Social Research Institute (ESRI), number SUSTAT119, June.

    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. Tetsuro Kobayashi & Fumiaki Taka & Takahisa Suzuki, 2021. "Can “Googling” correct misbelief? Cognitive and affective consequences of online search," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
    2. Joseph A Hamm & Corwin Smidt & Roger C Mayer, 2019. "Understanding the psychological nature and mechanisms of political trust," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
    3. David Hirshleifer & Angie Low & Siew Hong Teoh, 2012. "Are Overconfident CEOs Better Innovators?," Journal of Finance, American Finance Association, vol. 67(4), pages 1457-1498, August.
    4. Michael Carolan, 2020. "Filtering perceptions of climate change and biotechnology: values and views among Colorado farmers and ranchers," Climatic Change, Springer, vol. 159(1), pages 121-139, March.
    5. Barrera, Oscar & Guriev, Sergei & Henry, Emeric & Zhuravskaya, Ekaterina, 2020. "Facts, alternative facts, and fact checking in times of post-truth politics," Journal of Public Economics, Elsevier, vol. 182(C).
    6. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    7. Mark K. McBeth & Donna L. Lybecker & James W. Stoutenborough, 2016. "Do stakeholders analyze their audience? The communication switch and stakeholder personal versus public communication choices," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(4), pages 421-444, December.
    8. Erik C. Nisbet & Kathryn E. Cooper & R. Kelly Garrett, 2015. "The Partisan Brain," The ANNALS of the American Academy of Political and Social Science, , vol. 658(1), pages 36-66, March.
    9. Dickinson, David L., 2020. "Deliberation Enhances the Confirmation Bias: An Examination of Politics and Religion," IZA Discussion Papers 13241, Institute of Labor Economics (IZA).
    10. Ronja Sczepanski, 2023. "European by action: How voting reshapes nested identities," European Union Politics, , vol. 24(4), pages 751-770, December.
    11. Ray Saadaoui Mallek & Mohamed Albaity, 2019. "Individual differences and cognitive reflection across gender and nationality the case of the United Arab Emirates," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1567965-156, January.
    12. Tomi Rajala, 2019. "Mind the Information Expectation Gap," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 104-125, March.
    13. Mel W Khaw & Luminita Stevens & Michael Woodford, 2021. "Individual differences in the perception of probability," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-25, April.
    14. Ingar Haaland & Christopher Roth, 2023. "Beliefs about Racial Discrimination and Support for Pro-Black Policies," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 40-53, January.
    15. Jensen, Carsten & Naumann, Elias, 2016. "Increasing pressures and support for public healthcare in Europe," Health Policy, Elsevier, vol. 120(6), pages 698-705.
    16. Linda M. Fogg & Lawrence C. Hamilton & Erin S. Bell, 2020. "Views of the Highway: Infrastructure Reality, Perceptions, and Politics," SAGE Open, , vol. 10(4), pages 21582440209, October.
    17. Esterling, Kevin M. & Fung, Archon & Lee, Taeku, 2013. "Ideology, Deliberation and Persuasion within Small Groups: A Randomized Field Experiment on Fiscal Policy," Working Paper Series rwp13-036, Harvard University, John F. Kennedy School of Government.
    18. Byungdoo Kim & David L. Kay & Jonathon P. Schuldt, 2021. "Will I have to move because of climate change? Perceived likelihood of weather- or climate-related relocation among the US public," Climatic Change, Springer, vol. 165(1), pages 1-8, March.
    19. Gonzalo A. Aranda‐Corral & Joaquín Borrego‐Dí­az & Juan Galán‐Páez, 2013. "On the Phenomenological Reconstruction of Complex Systems—The Scale‐Free Conceptualization Hypothesis," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(6), pages 716-734, November.
    20. Tao, Ran & Li, Jianing & Shen, Liwei & Yang, Sijia, 2023. "Hope over fear: The interplay between threat information and hope appeal corrections in debunking early COVID-19 misinformation," Social Science & Medicine, Elsevier, vol. 333(C).

    More about this item

    Keywords

    Overconfidence bias; Conjunction fallacy; Betting; Probability; Frequency;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

    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:42:y:2014:i:c:p:52-62. 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.