IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/7195.html
   My bibliography  Save this paper

Debiasing on a roll: changing gambling behavior through experiential learning

Author

Listed:
  • Abel , Martin
  • Cole, Shawn
  • Zia, Bilal

Abstract

This paper tests experiential learning as a debiasing tool against gambling and lottery behavior in South Africa. The study implemented a simple, interactive dice game that simulates worsening winning odds of rolling sixes as more dice are added to the game. The analysis exploits two levels of exogenous variation, first from random assignment into the debiasing game, and second from the number of rolls it takes to obtain the sixes. Treated individuals who needed above-median number of rolls to obtain simultaneous sixes are significantly less likely than the control group to gamble or play the lottery in the following year. The converse is true for individuals who needed below-median number of rolls, suggesting a perverse treatment effect among this group. The analysis also finds suggestive evidence that the debiasing affected the sensitivity to varying winning odds. Changes in entertainment utility or risk preferences cannot explain these findings, rather the results are consistent with changes in risk beliefs.

Suggested Citation

  • Abel , Martin & Cole, Shawn & Zia, Bilal, 2015. "Debiasing on a roll: changing gambling behavior through experiential learning," Policy Research Working Paper Series 7195, The World Bank.
  • Handle: RePEc:wbk:wbrwps:7195
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2015/02/12/000158349_20150212153932/Rendered/PDF/WPS7195.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    2. Daniel Fernandes & John G. Lynch & Richard G. Netemeyer, 2014. "Financial Literacy, Financial Education, and Downstream Financial Behaviors," Management Science, INFORMS, vol. 60(8), pages 1861-1883, August.
    3. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    4. Alejandro Drexler & Greg Fischer & Antoinette Schoar, 2014. "Keeping It Simple: Financial Literacy and Rules of Thumb," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 1-31, April.
    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. Fox, Craig R & Rogers, Brett A & Tversky, Amos, 1996. "Options Traders Exhibit Subadditive Decision Weights," Journal of Risk and Uncertainty, Springer, vol. 13(1), pages 5-17, July.
    7. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    8. Kleiter, Gernot D. & Krebs, Marianne & Doherty, Michael E. & Garavan, Hugh & Chadwick, Randall & Brake, Gregory, 1997. "Do Subjects Understand Base Rates?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 72(1), pages 25-61, October.
    9. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    10. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    11. Kearney, Melissa Schettini, 2005. "State lotteries and consumer behavior," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2269-2299, December.
    12. 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.
    13. Marianne Bertrand & Adair Morse, 2011. "Information Disclosure, Cognitive Biases, and Payday Borrowing," Journal of Finance, American Finance Association, vol. 66(6), pages 1865-1893, December.
    14. Camerer, Colin F & Ho, Teck-Hua, 1994. "Violations of the Betweenness Axiom and Nonlinearity in Probability," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 167-196, March.
    15. Cass R. Sunstein & Richard H. Thaler, 2003. "Libertarian paternalism is not an oxymoron," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 48(Jun).
    16. Nicola Gennaioli & Andrei Shleifer, 2010. "What Comes to Mind," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1399-1433.
    17. Nicholas Barberis, 2013. "The Psychology of Tail Events: Progress and Challenges," American Economic Review, American Economic Association, vol. 103(3), pages 611-616, May.
    18. Thaler, Richard H & Ziemba, William T, 1988. "Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 161-174, Spring.
    19. Smith, Vernon L & Walker, James M, 1993. "Monetary Rewards and Decision Cost in Experimental Economics," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 245-261, April.
    20. Richard H. Thaler & Cass R. Sunstein, 2023. "Libertarian paternalism," Chapters, in: Cass R. Sunstein & Lucia A. Reisch (ed.), Research Handbook on Nudges and Society, chapter 1, pages 10-16, Edward Elgar Publishing.
    21. Tversky, Amos & Slovic, Paul & Kahneman, Daniel, 1990. "The Causes of Preference Reversal," American Economic Review, American Economic Association, vol. 80(1), pages 204-217, March.
    22. Charles T. Clotfelter & Philip J. Cook, 1989. "The Demand for Lottery Products," NBER Working Papers 2928, National Bureau of Economic Research, Inc.
    23. Jones, Steven K. & Taylor Jones, Kristine & Frisch, Deborah, 1995. "Biases of Probability Assessment: A Comparison of Frequency and Single-Case Judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 61(2), pages 109-122, February.
    24. Carpena, Fenella & Cole, Shawn & Shapiro, Jeremy & Zia, Bilal, 2011. "Unpacking the causal chain of financial literacy," Policy Research Working Paper Series 5798, The World Bank.
    25. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56, pages 279-279.
    26. Tversky, Amos & Wakker, Peter, 1995. "Risk Attitudes and Decision Weights," Econometrica, Econometric Society, vol. 63(6), pages 1255-1280, November.
    27. 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.
    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. Juliane Zenker & Andreas Wagener & Sebastian Vollmer, 2018. "Better Knowledge Need Not Affect Behavior: A Randomized Evaluation of the Demand for Lottery Tickets in Rural Thailand," The World Bank Economic Review, World Bank, vol. 32(3), pages 570-583.
    2. Abel, Martin & Byker, Tanya & Carpenter, Jeffrey, 2021. "Socially optimal mistakes? debiasing COVID-19 mortality risk perceptions and prosocial behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 456-480.

    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. George Wu & Richard Gonzalez, 1999. "Nonlinear Decision Weights in Choice Under Uncertainty," Management Science, INFORMS, vol. 45(1), pages 74-85, January.
    2. Upravitelev, A., 2023. "Neoclassical roots of behavioral economics," Journal of the New Economic Association, New Economic Association, vol. 58(1), pages 110-140.
    3. Marc A. Ragin & Benjamin L. Collier & Johannes G. Jaspersen, 2021. "The effect of information disclosure on demand for high‐load insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 161-193, March.
    4. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    5. Eyal Baharad & Doron Kliger, 2013. "Market failure in light of non-expected utility," Theory and Decision, Springer, vol. 75(4), pages 599-619, October.
    6. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    7. Dean Karlan & Aishwarya Lakshmi Ratan & Jonathan Zinman, 2014. "Savings by and for the Poor: A Research Review and Agenda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(1), pages 36-78, March.
    8. Trabelsi, Mohamed Ali, 2006. "Les nouveaux modèles de décision dans le risque et l’incertain : quel apport ? [The new models of decision under risk or uncertainty : What approach?]," MPRA Paper 25442, University Library of Munich, Germany.
    9. Atalay, Kadir & Bakhtiar, Fayzan & Cheung, Stephen & Slonim, Robert, 2014. "Savings and prize-linked savings accounts," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 86-106.
    10. Alarie, Yves, 2000. "L’importance de la procédure dans les choix de loteries," L'Actualité Economique, Société Canadienne de Science Economique, vol. 76(3), pages 321-340, septembre.
    11. Gul, Faruk & Pesendorfer, Wolfgang, 2015. "Hurwicz expected utility and subjective sources," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 465-488.
    12. Craig R. Fox & Amos Tversky, 1998. "A Belief-Based Account of Decision Under Uncertainty," Management Science, INFORMS, vol. 44(7), pages 879-895, July.
    13. Michael Kilka & Martin Weber, 2001. "What Determines the Shape of the Probability Weighting Function Under Uncertainty?," Management Science, INFORMS, vol. 47(12), pages 1712-1726, December.
    14. José Lara Resende & George Wu, 2010. "Competence effects for choices involving gains and losses," Journal of Risk and Uncertainty, Springer, vol. 40(2), pages 109-132, April.
    15. López-Pérez, Raúl & Rodriguez-Moral, Antonio & Vorsatz, Marc, 2021. "Simplified mental representations as a cause of overprecision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    16. Floris Heukelom, 2007. "Who are the Behavioral Economists and what do they say?," Tinbergen Institute Discussion Papers 07-020/1, Tinbergen Institute.
    17. Dennery, Charles & Direr, Alexis, 2014. "Optimal lottery," Journal of Mathematical Economics, Elsevier, vol. 55(C), pages 15-23.
    18. Michał Lewandowski, 2017. "Prospect Theory Versus Expected Utility Theory: Assumptions, Predictions, Intuition and Modelling of Risk Attitudes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 275-321, December.
    19. Stracca, Livio, 2004. "Behavioral finance and asset prices: Where do we stand?," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 373-405, June.
    20. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.

    More about this item

    Keywords

    Financial Literacy; Educational Sciences; Knowledge for Development; Access&Equity in Basic Education; Economic Theory&Research;
    All these keywords.

    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:wbk:wbrwps:7195. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.