IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v24y1978i12p1221-1230.html
   My bibliography  Save this article

Nevada's Gaming Revenues: Time Characteristics and Forecasting

Author

Listed:
  • Thomas F. Cargill

    (University of Nevada, Reno)

  • William R. Eadington

    (University of Nevada, Reno)

Abstract

The growing interest in gaming activity has led to an increased interest in Nevada's economy. Gross gaming revenues are regarded as an important economic indicator of the Nevada economy and of considerable importance to the State's budgetary planning since taxes derived from these revenues represent almost fifty percent of the general revenues in any given year. The major objective of this study is to identify the time varying characteristics of quarterly gaming revenues over a twenty-year period for the three most important economic areas within Nevada. This will provide the basis for developing a meaningful forecasting methodology. Examination of the gaming revenues for seasonal and non-seasonal fluctuations indicate that each area's revenues exhibited a consistent seasonal pattern and the amplitude of the seasonal fluctuation tended to diminish over time. No significant evidence of non-seasonal fluctuations such as business cycles could be found. Based on the time characteristics of the gaming revenues it was concluded that the autoregressive-moving average forecasting techniques suggested by Box and Jenkins would be the most appropriate forecasting methodology to employ. A Box-Jenkins model was estimated for each area over a period ending in 1974-IV and forecasts were generated for the period from 1975-I to 1977-IV. The forecasts were judged to be reasonably close to actual gaming revenues at least for the first 6 quarters of the forecast period.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:24:y:1978:i:12:p:1221-1230
    DOI: 10.1287/mnsc.24.12.1221
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.24.12.1221
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.24.12.1221?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Richard Thalheimer, 2008. "Government restrictions and the demand for casino and parimutuel wagering," Applied Economics, Taylor & Francis Journals, vol. 40(6), pages 773-791.
    2. Kathryn L. Combs & Jaebeom Kim & Jim Landers & John A. Spry, 2016. "The Responsiveness of Casino Revenue to the Casino Tax Rate," Public Budgeting & Finance, Wiley Blackwell, vol. 36(3), pages 22-44, September.
    3. Richard Thalheimer & Mukhtar M. Ali, 2008. "The Demand For Casino Gaming With Special Reference To A Smoking Ban," Economic Inquiry, Western Economic Association International, vol. 46(2), pages 273-282, April.
    4. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen Miller, 2013. "Forecasting Nevada gross gaming revenue and taxable sales using coincident and leading employment indexes," Empirical Economics, Springer, vol. 44(2), pages 387-417, April.
    5. Richard Thalheimer & Mukhtar Ali, 2003. "The demand for casino gaming," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 907-918.
    6. Ege Can & Mark W. Nichols, 2022. "The Income Elasticity of Gross Sports Betting Revenues in Nevada: Short-Run and Long-Run Estimates," Journal of Sports Economics, , vol. 23(2), pages 175-199, February.
    7. 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.
    8. Thomas A. Garrett & Mark W. Nichols, 2019. "The Behavior Of Casino Gaming Revenue Over The Business Cycle Considering Alternative Measures Of “Income”," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 274-296, April.
    9. repec:emu:wpaper:dp15-01.pdf is not listed on IDEAS
    10. di Bella, Enrico & Gandullia, Luca & Leporatti, Lucia, 2014. "Short and long run income elasticity of gambling tax bases: evidence from Italy," MPRA Paper 73757, University Library of Munich, Germany.
    11. Thomas F. Cargill & Steven A. Morus, 1988. "A vector autoregression model of the Nevada economy," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 21-32.
    12. Richard Thalheimer, 2012. "The demand for slot machine and pari-mutuel horse race wagering at a racetrack-casino," Applied Economics, Taylor & Francis Journals, vol. 44(9), pages 1177-1191, March.

    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:inm:ormnsc:v:24:y:1978:i:12:p:1221-1230. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.