IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v90y2009i2p243-261.html
   My bibliography  Save this article

Who REALLY Wants to be a Millionaire? Gender Differences in Game Show Contestant Behavior Under Risk

Author

Listed:
  • Daniel K. N. Johnson
  • Tracy R. Gleason

Abstract

Objective. On the popular game show Who Wants to be a Millionaire men appear to average higher winnings than women. This article investigates potential reasons, including different uses of information sources (lifelines) and different perceptions of risk. Method. We analyzed the decisions and resultant winnings of 164 contestants (95 men and 69 women) over 42 episodes of the show. Results. Gender‐based tests of Kahneman and Tversky's prospect theory demonstrated evidence of gender differences in the certainty effect and suggested the counterintuitive conclusion that men are rewarded for acting slightly more cautiously than do women. Conclusions. These gender differences may be owing to self‐selection of contestants, particularly for women, and to different goals: whereas men play to maximize their winnings, women may be less concerned with profit than with the experience as a whole. These findings suggest that examination of gender‐related behavior in other risky, high‐profile contexts may be worthwhile.

Suggested Citation

  • Daniel K. N. Johnson & Tracy R. Gleason, 2009. "Who REALLY Wants to be a Millionaire? Gender Differences in Game Show Contestant Behavior Under Risk," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 243-261, June.
  • Handle: RePEc:bla:socsci:v:90:y:2009:i:2:p:243-261
    DOI: 10.1111/j.1540-6237.2009.00615.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1540-6237.2009.00615.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1540-6237.2009.00615.x?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
    ---><---

    References listed on IDEAS

    as
    1. Friend, Irwin & Blume, Marshall E, 1975. "The Demand for Risky Assets," American Economic Review, American Economic Association, vol. 65(5), pages 900-922, December.
    2. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    3. Ali, Mukhtar M, 1977. "Probability and Utility Estimates for Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 85(4), pages 803-815, August.
    4. Cicchetti, Charles J & Dubin, Jeffrey A, 1994. "A Microeconometric Analysis of Risk Aversion and the Decision to Self-Insure," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 169-186, February.
    5. Thierry Post & Martijn J. van den Assem & Guido Baltussen & Richard H. Thaler, 2008. "Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show," American Economic Review, American Economic Association, vol. 98(1), pages 38-71, March.
    6. 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.
    7. Joop Hartog & Ada Ferrer‐i‐Carbonell & Nicole Jonker, 2002. "Linking Measured Risk Aversion to Individual Characteristics," Kyklos, Wiley Blackwell, vol. 55(1), pages 3-26.
    8. Rafael Tenorio & Timothy N. Cason, 2002. "To Spin or Not to Spin? Natural and Laboratory Experiments from "The Price is Right"," Economic Journal, Royal Economic Society, vol. 112(476), pages 170-195, January.
    9. Han Bleichrodt & José Luis Pinto, 2000. "An experimental test of loss aversion and scale compatibility," Economics Working Papers 467, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Nicholas Barberis & Ming Huang & Richard H. Thaler, 2006. "Individual Preferences, Monetary Gambles, and Stock Market Participation: A Case for Narrow Framing," American Economic Review, American Economic Association, vol. 96(4), pages 1069-1090, September.
    11. Jianakoplos, Nancy Ammon & Bernasek, Alexandra, 1998. "Are Women More Risk Averse?," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 620-630, October.
    12. Powell, Melanie & Ansic, David, 1997. "Gender differences in risk behaviour in financial decision-making: An experimental analysis," Journal of Economic Psychology, Elsevier, vol. 18(6), pages 605-628, November.
    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. Charles Reback & Kristin Stowe, 2011. "Unnatural experiments: the case of television game shows," Applied Economics Letters, Taylor & Francis Journals, vol. 18(10), pages 919-923.
    2. Hogarth, Robin M. & Karelaia, Natalia & Trujillo, Carlos Andrés, 2012. "When should I quit? Gender differences in exiting competitions," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 136-150.
    3. Haeussler, Carolin & Vieth, Sabrina, 2022. "A question worth a million: The expert, the crowd, or myself? An investigation of problem solving," Research Policy, Elsevier, vol. 51(3).
    4. Klemens Keldenich & Marcus Klemm, 2014. "Double or nothing?! Small groups making decisions under risk in “Quiz Taxi”," Theory and Decision, Springer, vol. 77(2), pages 243-274, August.
    5. Ramirez, Patrick A. & Levine, Daniel S., 2013. "A review of the certainty effect and influence of information processing," Economics Discussion Papers 2013-47, Kiel Institute for the World Economy (IfW Kiel).

    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. Toshio Fujimi & Hirokazu Tatano, 2013. "Promoting Seismic Retrofit Implementation Through “Nudge”: Using Warranty as a Driver," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1858-1883, October.
    2. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    3. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    4. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    5. Alma Cohen & Liran Einav, 2007. "Estimating Risk Preferences from Deductible Choice," American Economic Review, American Economic Association, vol. 97(3), pages 745-788, June.
    6. David Blake & Edmund Cannon & Douglas Wright, 2021. "Quantifying loss aversion: Evidence from a UK population survey," Journal of Risk and Uncertainty, Springer, vol. 63(1), pages 27-57, August.
    7. Gee, C., 2007. "Risky Choice and Type-Uncertainty in "Deal or No Deal?"," Cambridge Working Papers in Economics 0758, Faculty of Economics, University of Cambridge.
    8. J. Francois Outreville, 2014. "Risk Aversion, Risk Behavior, and Demand for Insurance: A Survey," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 37(2), pages 158-186.
    9. Nicholas C. Barberis, 2012. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," NBER Working Papers 18621, National Bureau of Economic Research, Inc.
    10. Daniel Paravisini & Veronica Rappoport & Enrichetta Ravina, 2017. "Risk Aversion and Wealth: Evidence from Person-to-Person Lending Portfolios," Management Science, INFORMS, vol. 63(2), pages 279-297, February.
    11. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
    12. Ariane Charpin, 2018. "Tests des modèles de décision en situation de risque. Le cas des parieurs hippiques en France," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 779-803.
    13. Alserda, Gosse A.G. & Dellaert, Benedict G.C. & Swinkels, Laurens & van der Lecq, Fieke S.G., 2019. "Individual pension risk preference elicitation and collective asset allocation with heterogeneity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 206-225.
    14. Epper, Thomas & Fehr-Duda, Helga, 2017. "A Tale of Two Tails: On the Coexistence of Overweighting and Underweighting of Rare Extreme Events," Economics Working Paper Series 1705, University of St. Gallen, School of Economics and Political Science.
    15. Helgeson, Jennifer & Dietz, Simon & Atkinson, Giles D. & Hepburn, Cameron & Sælen, Håkon, 2009. "Siblings, not triplets: social preferences for risk, inequality and time in discounting climate change," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-28.
    16. Marianne Andries, 2012. "Consumption-based Asset Pricing Loss Aversion," 2012 Meeting Papers 571, Society for Economic Dynamics.
    17. Bellante, Don & Green, Carole A., 2004. "Relative risk aversion among the elderly," Review of Financial Economics, Elsevier, vol. 13(3), pages 269-281.
    18. Andrea Lippi & Laura Barbieri & Mariacristina Piva & Werner De Bondt, 2018. "Time-varying risk behavior and prior investment outcomes: Evidence from Italy," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 471-483, September.
    19. J. François Outreville, 2015. "The Relationship Between Relative Risk Aversion And The Level Of Education: A Survey And Implications For The Demand For Life Insurance," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 97-111, February.
    20. Roger Hartley & Gauthier Lanot & Ian Walker, 2014. "Who Really Wants To Be A Millionaire? Estimates Of Risk Aversion From Gameshow Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 861-879, September.

    More about this item

    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:bla:socsci:v:90:y:2009:i:2:p:243-261. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    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.