IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v13y2013i3p338-355.html
   My bibliography  Save this article

Personality and psychographics of three types of gamblers in the United States

Author

Listed:
  • Andrew B. Carver
  • John A. McCarty

Abstract

Using the results of the Experian Marketing Services' Simmons-super-® National Consumer Study (NCS) ( N 0 = 24,581), this paper studies the characteristics of three types of US. gamblers: regular lottery players ( N 1 = 1100), heavy casino gamblers ( N 2 = 636) and online gamblers ( N 3 = 291). We explore each type of gambler using measures of several personality and psychographic variables: impulsiveness, desire for control, materialism, risk taking, self-centredness, introversion, sensation seeking and financial prudence. We find that while all three groups have elevated levels of impulsiveness and materialism relative to non-gamblers ( p > 0.01), most noteworthy are the online gamblers, who have higher levels of risk taking, desire for control, self-centredness and sensation seeking compared to casino gamblers, lottery players and non-gamblers ( p > 0.01). This study additionally emphasizes the importance of considering demographics when investigating psychographics, as some of the psychographics related to gambling are conditioned on age. In addition, we find that online gamblers who also engage in other forms of gambling may be distinct from those who do not, suggesting they are not a homogeneous group.

Suggested Citation

  • Andrew B. Carver & John A. McCarty, 2013. "Personality and psychographics of three types of gamblers in the United States," International Gambling Studies, Taylor & Francis Journals, vol. 13(3), pages 338-355, December.
    • Handle: RePEc:taf:intgms:v:13:y:2013:i:3:p:338-355
    DOI: 10.1080/14459795.2013.819933
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459795.2013.819933
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14459795.2013.819933?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 T. Clotfelter & Philip J. Cook, 1989. "Selling Hope: State Lotteries in America," NBER Books, National Bureau of Economic Research, Inc, number clot89-1.
    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. Lara Manganelli & Jacques Forest, 2022. "Using Self-Determination Theory to Understand when and how Money Buys Happiness: a Cross-Sectional and Intervention Study," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 31-56, February.
    2. Edmund R. Thompson & Gerard P. Prendergast & Gerard H. Dericks, 2021. "Personality, Luck Beliefs, and (Non-?) Problem Lottery Gambling," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(2), pages 703-722, April.
    3. Mark Legg & Apostolos Ampountolas, 2024. "How music listening preferences play a role in casino showroom offers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 611-623, September.

    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. Thomas A. Garrett & Russell S. Sobel, 2004. "State Lottery Revenue: The Importance of Game Characteristics," Public Finance Review, , vol. 32(3), pages 313-330, May.
    2. 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.
    3. Nerilee Hing & Lorraine Cherney & Alex Blaszczynski & Sally M. Gainsbury & Dan I. Lubman, 2014. "Do advertising and promotions for online gambling increase gambling consumption? An exploratory study," International Gambling Studies, Taylor & Francis Journals, vol. 14(3), pages 394-409, December.
    4. Cletus C. Coughlin & Thomas A. Garrett & Ruben Hernandez-Murillo, 2004. "Spatial probit and the geographic patterns of state lotteries," Working Papers 2003-042, Federal Reserve Bank of St. Louis.
    5. Meir Gross, 1998. "Legal Gambling as a Strategy for Economic Development," Economic Development Quarterly, , vol. 12(3), pages 203-213, August.
    6. Rubenstein, Ross & Scafidi, Benjamin, 2002. "Who Pays and Who Benefits? Examining the Distributional Consequences of the Georgia Lottery for Education," National Tax Journal, National Tax Association, vol. 55(N. 2), pages 223-238, June.
    7. Glenn P. Jenkins & Chun-Yan Kuo, 2004. "The Taxation and Regulation of Casino’s and Games of Chance in the Dominican Republic," Development Discussion Papers 2004-07, JDI Executive Programs.
    8. von Meduna, Marc & Steinmetz, Fred & Ante, Lennart & Reynolds, Jennifer & Fiedler, Ingo, 2020. "Loot boxes are gambling-like elements in video games with harmful potential: Results from a large-scale population survey," Technology in Society, Elsevier, vol. 63(C).
    9. M. Forster & E. Randon, 2019. "Do lottery operators exploit their lottery power? Efficiency and equality considerations in optimal lottery design," Working Papers wp1135, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Skidmore, Mark & Serkan Tosun, Mehmet, 2008. "Do New Lottery Games Stimulate Retail Activity? Evidence from West Virginia Counties," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-11.
    11. Andrey Kudryavtsev & Gil Cohen & Shlomit Hon-Snir, 2013. "“Rational” or “Intuitive”: Are Behavioral Biases Correlated Across Stock Market Investors?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    12. Whitney, Marilyn D., 1994. "Lotto And Money Illusion," Working Papers 225879, University of California, Davis, Department of Agricultural and Resource Economics.
    13. Gary E Bolton & Axel Ockenfels, 2008. "Risk Taking and Social Comparison - A Comment on “Betrayal Aversion: Evidence from Brazil, China, Oman, Switzerland, Turkey, and the United Statesâ€," Working Paper Series in Economics 40, University of Cologne, Department of Economics.
    14. Johansen, Kathrin & Singer, Nico, 2012. "Chasing rainbows: On the relationship between lottery tickets and common stocks," Thuenen-Series of Applied Economic Theory 129, University of Rostock, Institute of Economics.
    15. David R. Just & Hope C. Michelson, 2007. "Wealth as Welfare: Are Wealth Thresholds behind Persistent Poverty?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 419-426.
    16. Farrell, Lisa & Walker, Ian, 1999. "The welfare effects of lotto: evidence from the UK," Journal of Public Economics, Elsevier, vol. 72(1), pages 99-120, April.
    17. Brown, Ryan P. & Rork, Jonathan C., 2005. "Copycat gaming: A spatial analysis of state lottery structure," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 795-807, November.
    18. Nichols, Mark W. & Tosun, Mehmet Serkan, 2017. "The impact of legalized casino gambling on crime," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 1-15.
    19. Lim, Wooyoung & Matros, Alexander & Turocy, Theodore L., 2014. "Bounded rationality and group size in Tullock contests: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 155-167.
    20. Harriet A. Stranahan & Mary O. Borg, 2004. "Some Futures are Brighter than Others: the Net Benefits Received by Florida Bright Futures Scholarship Recipients," Public Finance Review, , vol. 32(1), pages 105-126, January.

    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:taf:intgms:v:13:y:2013:i:3:p:338-355. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RIGS20 .

    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.