Skip to main content
Log in

An Empirical Investigation of Theoretical Loss and Gambling Intensity

  • Original Paper
  • Published:
Journal of Gambling Studies Aims and scope Submit manuscript

Abstract

Many recent studies of internet gambling—particularly those that have analysed behavioural tracking data—have used variables such ‘bet size’ and ‘number of games played’ as proxy measures for ‘gambling intensity’. In this paper it is argued that the most stable and reliable measure for ‘gambling intensity’ is the ‘theoretical loss’ (a product of total bet size and house advantage). In the long run, the theoretical loss corresponds with the Gross Gaming Revenue generated by commercial gaming operators. For shorter periods of time, theoretical loss is the most stable measure of gambling intensity as it is not distorted by gamblers’ occasional wins. Even for single bets, the theoretical loss reflects the amount a player is willing to risk. Using behavioural tracking data of 100,000 players who played online casino, lottery and/or poker games, this paper also demonstrates that bet size does not equate to or explain theoretical loss as it does not take into account the house advantage. This lack of accuracy is shown to be even more pronounced for gamblers who play a variety of games.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Auer, M., Schneeberger, A., & Griffiths, M. D. (2012). Theoretical loss and gambling intensity: A simulation study. Gaming Law Review and Economics, 16, 269–273.

    Article  Google Scholar 

  • Broda, A., LaPlante, D. A., Nelson, S. E., LaBrie, R. A., Bosworth, L. B., & Shaffer, H. J. (2008). Virtual harm reduction efforts for Internet gambling: Effects of deposit limits on actual internet sports gambling behaviour. Harm Reduction Journal, 5, 27.

    Article  PubMed Central  PubMed  Google Scholar 

  • Colbert, G., Murray, D., & Nieschwietz, R. (2009). The use of expected value in pricing judgements. Journal of Risk Research, 12, 199–208.

    Article  Google Scholar 

  • Dragicevic, S., Tsogas, S. B., & Kudic, A. (2011). Analysis of casino online gambling data in relation to behavioural risk markers for high-risk gambling and player protection. International Gambling Studies, 11, 377–391.

    Article  Google Scholar 

  • Griffiths, M. D., & Auer, M. (2011). Online versus offline gambling: Methodological considerations in empirical gambling research. Casino and Gaming International, 7(3), 45–48.

    Google Scholar 

  • Griffiths, M. D., & Whitty, M. W. (2010). Online behavioural tracking in Internet gambling research: Ethical and methodological issues. International Journal of Internet Research Ethics, 3, 104–117.

    Google Scholar 

  • LaBrie, R. A., Kaplan, S., LaPlante, D. A., Nelson, S. E., & Shaffer, H. J. (2008). Inside the virtual casino: A prospective longitudinal study of Internet casino gambling. European Journal of Public Health, 18, 410–416.

    Article  PubMed  Google Scholar 

  • LaPlante, D. A., Kleschinsky, J. H., LaBrie, R. A., Nelson, S. E., & Shaffer, H. J. (2009). Sitting at the virtual poker table: A prospective epidemiological study of actual Internet poker gambling behavior. Computers in Human Behavior, 25, 711–717.

    Article  Google Scholar 

  • LaPlante, D. A., Schumann, A., LaBrie, R. A., & Shaffer, H. J. (2008). Population trends in internet sports gambling. Computers in Human Behavior, 24, 2399–2414.

    Article  Google Scholar 

  • Li, S. (2003). The role of Expected Value illustrated in decision-making under risk: Single-play vs multiple-play. Journal of Risk Research, 6, 113–124.

    Article  Google Scholar 

  • Nelson, S. E., LaPlante, D. A., Peller, A. J., Schumann, A., LaBrie, R. A., & Shaffer, H. J. (2008). Real limits in the virtual world: Self-limiting behavior of Internet gamblers. Journal of Gambling Studies, 24, 463–477.

    Article  PubMed  Google Scholar 

  • Wardle, H., Moody, A., Griffiths, M. D., Orford, J., & Volberg, R. (2011). Defining the online gambler and patterns of behaviour integration: Evidence from the British Gambling Prevalence Survey 2010. International Gambling Studies, 11, 339–356.

    Article  Google Scholar 

Download references

Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Auer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Auer, M., Griffiths, M.D. An Empirical Investigation of Theoretical Loss and Gambling Intensity. J Gambl Stud 30, 879–887 (2014). https://doi.org/10.1007/s10899-013-9376-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10899-013-9376-7

Keywords

Navigation