Journal of Gambling Studies

, Volume 27, Issue 4, pp 607–623

Volatility, House Edge and Prize Structure of Gambling Games

Original Paper

Abstract

This study used simulations to examine the effect of prize structure on the outcome volatility and the number of winners of various game configurations. The two most common prize structures found in gambling games are even money payoff games (bet $1; win $2) found on most table games and multilevel prizes structures found in gambling machine games. Simulations were set up to examine the effect of prize structure on the long-term outcomes of these games. Eight different prize structures were compared in terms of the number of winners and volatility. It was found that the standard table game and commercial gambling machines produced fairly high numbers of short term winners (1 h), but few long term winners (50 h). It was found that the typical even money game set up produced the lowest level of volatility. Of the multilevel prize structures examined, the three simulations based on commercial gambling machines were the least volatile. The results are examined in terms of the pragmatics of game design.

Keywords

Game volatility Problem gambling Effect of prize structure Gambling technology 

References

  1. Breen, R. B., & Zimmerman, M. (2002). Rapid onset of pathological gambling in machine gamblers. Journal of Gambling Studies, 18, 31–43.PubMedCrossRefGoogle Scholar
  2. Canadian Gambling Digest. (2007). Canadian partnership for responsible gambling downloaded November 30, 2009, from www.cprg.ca/articles/Canadian_Gambling_Digest_2005_2006.pdf.
  3. Cardoza, A. (1997). How to win at gambling. New York: Cardoza Publishing.Google Scholar
  4. Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  5. Counter, A., & Davey, B. (2006). What is the Ontario problem gambling helpline (OPGH)? Paper presented at the conference of the Responsible Gambling Council (Ontario), Toronto. Retrieved July 16, 2008, from www.rgco.org/articles/anne_counter_brad_davey_discovery_2006.pdf.
  6. Delfabbro, H. H., & Winefield, A. H. (1999). Poker-machine gambling: An analysis of within session characteristics. British Journal of Psychology, 90(3), 425–439.CrossRefGoogle Scholar
  7. Dickerson, M. (1996). Why ‘slots’ equals ‘grind’ in any language: The cross-cultural popularity of the slot machine. In J. McMillen (Ed.), Gambling cultures: Studies in history and interpretation (pp. 152–166). London: Routledge.Google Scholar
  8. Dickerson, M., Hinchy, J., England, S. L., & Fabre, J. (1992). On the determinants of persistent gambling behaviour. I. High frequency poker machine players. British Journal of Psychology, 83, 237–248.PubMedCrossRefGoogle Scholar
  9. Dixon, M. R., MacLin, O. H., & Daugherty, D. (2006). An evaluation of response allocations to concurrently available slot machine simulations. Behavior Research Methods, 38(2), 232–236.PubMedCrossRefGoogle Scholar
  10. Dorion, J. P., & Nicki, R. M. (2001). Epidemiology of problem gambling in Prince Edward Island: A Canadian microcosm. Canadian Journal of Psychiatry, 46, 413–417.Google Scholar
  11. Dowling, N., Smith, D., & Thomas, T. (2004). Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction, 100, 33–45.CrossRefGoogle Scholar
  12. Ernkvist, M. (2009). Creating player appeal: Management of technological innovation and changing pattern of industrial leadership in the U.S. gaming machine manufacturing industry, 1965–2005. Goteberg, Sweden: University of Gothenburg.Google Scholar
  13. G2E. (2009). Preview to the 2009 Global Gaming Expo, Las Vegas. Retrieved December 9, 2009, from http://content.yudu.com/Library/A1go7o/G2EPreview2009/resources/1.htm.
  14. Harrigan, K. A. (2007). Slot machine structural characteristics: Distorted player views of payback percentages. Journal of Gambling Issues, (20). Downloaded January 9, 2007, from www.camh.net/egambling.
  15. Harrigan, K. A., & Dixon, M., (2009). PAR Sheets, probabilities, and slot machine play: Implications for problem and non-problem gambling. Journal of Gambling Issues, 23. http://www.camh.net/egambling/issue23/06harrigan.html.
  16. Haruvy, E., Erev, L., & Sonsino, D. (2001). The medium prizes paradox: Evidence from a simulated casino. The Journal of Risk and Uncertainty, 22(3), 251–261.CrossRefGoogle Scholar
  17. IGT. (2009). Slotline. Show Edition, November 2009. Nevada: IGT.Google Scholar
  18. Kilby, J., Fox, J., & Lucas, A. F. (2004). Casino operations management (2nd ed.). New York: Wiley.Google Scholar
  19. MacDonald, A., & Eadington, W.R. (2007). Bright ideas: “Knowledge should defeat fear”—understanding the high stakes game of Baccarat—Part II. Retrieved January 22, 2010, from www.urbino.net/bright.cfm?specificBright=%E2%80%9CKnowledge%20Should%20Defeat%20Fear%E2%80%9D%20%E2%80%93%20Understanding%20the%20high%20stakes%20game%20of%20Baccarat%20-%20Part%20II.
  20. Mizerski, D., Jolley, B., & Mizerski, K. (2002). Disputing the “crack cocaine of gambling” label for electronic gaming machines. Paper presented at the National Association for Gambling Studies, Sydney.Google Scholar
  21. OLG. (2010). Lotto 649. Retrieved June 7, 2010, from http://www.olg.ca/lotteries/games/howtoplay.do?game=lotto649.
  22. Productivity Commission. (1999). Australia’s gambling industries. Report no. 10. Canberra, Australia: AusInfo.Google Scholar
  23. Schull, N. D. (2005). Digital gambling: The coincidence of desire and design. Annals of the American Academy of Political and Social Science, 597, 65–81.CrossRefGoogle Scholar
  24. Turner, N. E., & Ferentzy, P. (2010). The natural life history of a lottery: The importance of large wins in the establishment and survival of a lottery. International Gambling Studies, 10(1), 19–30.CrossRefGoogle Scholar
  25. Turner, N. E., & Horbay, R. (2003). Doubling revisited: The mathematical and psychological effect of betting strategy. Gambling Research, 15, 16–34.Google Scholar
  26. Turner, N. E., & Horbay, R. (2004). How do slot machines and other electronic gambling machines actually work? Journal of Gambling Issue, (11), 10–50. http://www.camh.net/egambling/issue11/index.html.
  27. Urbanoski, K. A., & Rush, B. R. (2006). Characteristics of people seeking treatment for problem gambling in Ontario: Trends from 1998–2002. Electronic Journal of Gambling Issues, 16, 77–97 [Online]. Retrieved July 16, 2008, from www.camh.net/egambling/issue16.
  28. Weatherly, J. N., & Brandt, A. E. (2004). Participants’ sensitivity to percentage payback and credit value when playing a slot-machine simulation. Behavior and Social Issues, 13, 33–50.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Social Epidemiological Research Centre for Addiction and Mental HealthTorontoCanada

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