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Seasonal patterns in slot-machine gambling in Germany

Author

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  • Csilla Horváth
  • Andreas Günther
  • Richard Paap

Abstract

Although several aspects of gambling have been thoroughly investigated, little is known about the effect of seasonality on gambling. This study investigated the seasonal patterns in slot-machine usage, based on a unique data set of slot-machine usage from a German gambling centre using time series analysis. Knowledge of seasonal slot-machine usage patterns provides useful insights for researchers, gambling centre managers and legal authorities. Slot-machine gambling activity appears to be highest in November, when poor weather is compounded with lack of entertainment activities and lowest in December, when ample entertainment possibilities may distract people from gambling. The estimated daily and weekly seasonal patterns support the self-control literature, which suggests that self-regulatory failures are more likely when people are more tired; after work, or late in the evening. The high variation in gambling during winter implies that the availability of alternative entertainment activities may have an important influence on slot-machine usage.

Suggested Citation

  • Csilla Horváth & Andreas Günther & Richard Paap, 2010. "Seasonal patterns in slot-machine gambling in Germany," International Gambling Studies, Taylor & Francis Journals, vol. 10(3), pages 255-268, December.
    • Handle: RePEc:taf:intgms:v:10:y:2010:i:3:p:255-268
    DOI: 10.1080/14459795.2010.528784
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    References listed on IDEAS

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    1. Shaffer, H.J. & Hall, M.N. & Vander Bilt, J., 1999. "Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1369-1376.
    2. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Thomas F. Cargill & William R. Eadington, 1978. "Nevada's Gaming Revenues: Time Characteristics and Forecasting," Management Science, INFORMS, vol. 24(12), pages 1221-1230, August.
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    Cited by:

    1. Gerhard Meyer & Marc von Meduna & Tim Brosowski & Tobias Hayer, 2015. "Compliance check of gambler and youth protection in German amusement arcades: a pilot study," International Gambling Studies, Taylor & Francis Journals, vol. 15(3), pages 343-360, December.

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