IDEAS home Printed from https://ideas.repec.org/p/bge/wpaper/1588.html

A Subjective Theory of Belief in the Gambler's Fallacy

Author

Listed:
  • Jawwad Noor
  • Fernando Payró Chew

Abstract

Studies suggest that people often believe that random processes exhibit reversion to the mean, regardless of the size of the sample. In a canonical coin-tossing environment, a belief in mean reversion towards some bias θ∗ is straightforward to define if it is assumed that the tosses are objectively i.i.d. with bias θ ∗ . In this paper we define and represent a belief in mean reversion without assuming the existence of an objective random process. This decouples the notion of a belief in mean reversion from the notion of misspecified beliefs that is predominantly used in the literature.

Suggested Citation

  • Jawwad Noor & Fernando Payró Chew, 2026. "A Subjective Theory of Belief in the Gambler's Fallacy," Working Papers 1588, Barcelona School of Economics.
  • Handle: RePEc:bge:wpaper:1588
    as

    Download full text from publisher

    File URL: https://bw.bse.eu/wp-content/uploads/1588.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
    2. Terrell, Dek, 1994. "A Test of the Gambler's Fallacy: Evidence from Pari-mutuel Games," Journal of Risk and Uncertainty, Springer, vol. 8(3), pages 309-317, May.
    3. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    4. Daniel L. Chen & Tobias J. Moskowitz & Kelly Shue, 2016. "Decision Making Under the Gambler’s Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1181-1242.
    Full references (including those not matched with items on IDEAS)

    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. He, Kevin, 2022. "Mislearning from censored data: The gambler's fallacy and other correlational mistakes in optimal-stopping problems," Theoretical Economics, Econometric Society, vol. 17(3), July.
    2. Doidge, Mary & Feng, Hongli & Hennessy, David A., "undated". "A test of the gambler’s and hot hand fallacies in farmers’ weather and market predictions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258457, Agricultural and Applied Economics Association.
    3. Qingxia Kong & Georg D. Granic & Nicolas S. Lambert & Chung Piaw Teo, 2020. "Judgment Error in Lottery Play: When the Hot Hand Meets the Gambler’s Fallacy," Management Science, INFORMS, vol. 66(2), pages 844-862, February.
    4. Brian Dillon & Travis J. Lybbert, 2024. "The gambler’s fallacy prevails in lottery play," Journal of Risk and Uncertainty, Springer, vol. 69(1), pages 33-56, August.
    5. Neszveda, G., 2019. "Essays on behavioral finance," Other publications TiSEM 05059039-5236-42a3-be1b-3, Tilburg University, School of Economics and Management.
    6. Daniel J. Benjamin & Don A. Moore & Matthew Rabin, 2017. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments," NBER Working Papers 23927, National Bureau of Economic Research, Inc.
    7. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    8. Dohmen, Thomas & Falk, Armin & Huffman, David & Marklein, Felix & Sunde, Uwe, 2009. "Biased probability judgment: Evidence of incidence and relationship to economic outcomes from a representative sample," Journal of Economic Behavior & Organization, Elsevier, vol. 72(3), pages 903-915, December.
    9. Kaivanto, Kim & Kroll, Eike B., 2012. "Negative recency, randomization device choice, and reduction of compound lotteries," Economics Letters, Elsevier, vol. 115(2), pages 263-267.
    10. Daniel Chen & Tobias J. Moskowitz & Kelly Shue, 2016. "Decision-Making under the Gambler's Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires," NBER Working Papers 22026, National Bureau of Economic Research, Inc.
    11. Elena Asparouhova & Michael Hertzel & Michael Lemmon, 2009. "Inference from Streaks in Random Outcomes: Experimental Evidence on Beliefs in Regime Shifting and the Law of Small Numbers," Management Science, INFORMS, vol. 55(11), pages 1766-1782, November.
    12. Kim Kaivanto & Eike Kroll, 2014. "Alternation bias and reduction in St. Petersburg gambles," Working Papers 65600286, Lancaster University Management School, Economics Department.
    13. Maximilian Späth & Daniel Goller, 2023. "Gender differences in investment reactions to irrelevant information," CEPA Discussion Papers 67, Center for Economic Policy Analysis.
    14. Paola Criscuolo & Linus Dahlander & Thorsten Grohsjean & Ammon Salter, 2021. "The Sequence Effect in Panel Decisions: Evidence from the Evaluation of Research and Development Projects," Organization Science, INFORMS, vol. 32(4), pages 987-1008, July.
    15. Joshua B. Miller & Adam Sanjurjo, 2014. "A Cold Shower for the Hot Hand Fallacy," Working Papers 518, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    16. Sheng Bi & Long He & Chung Piaw Teo, 2023. "Taming the Long Tail: The Gambler’s Fallacy in Intermittent Demand Management," Manufacturing & Service Operations Management, INFORMS, vol. 25(5), pages 1692-1710, September.
    17. Sigrid Suetens & Claus B. Galbo-Jørgensen & Jean-Robert Tyran, 2016. "Predicting Lotto Numbers: A Natural Experiment On The Gambler'S Fallacy And The Hot-Hand Fallacy," Journal of the European Economic Association, European Economic Association, vol. 14(3), pages 584-607, June.
    18. Jaimie W. Lien & Jia Yuan, 2015. "Selling To Biased Believers: Strategies Of Online Lottery Ticket Vendors," Economic Inquiry, Western Economic Association International, vol. 53(3), pages 1506-1521, July.
    19. Lex Borghans & Bas ter Weel, 2008. "Understanding the Technology of Computer Technology Diffusion: Explaining Computer Adoption Patterns and Implications for the Wage Structure," Journal of Income Distribution, Ad libros publications inc., vol. 17(3-4), pages 37-70, September.
    20. Cass R. Sunstein & Lucia A. Reisch, 2025. "In Praise of Computation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(10), pages 2707-2727, October.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    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:bge:wpaper:1588. 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: Bruno Guallar (email available below). General contact details of provider: https://edirc.repec.org/data/bargses.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.