Advanced Search
MyIDEAS: Login

Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes

Contents:

Author Info

  • Mehmet Balcilar

    () (Department of Economics, Eastern Mediterranean University)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

  • Anandamayee Majumdar

    () (Department of Mathematics and Statistics, Arizona State University)

  • Stephen M. Miller

    () (Department of Economics, University of Nevada, Las Vegas)

Abstract

This paper provides out-of-sample forecasts of Nevada gross gaming revenue and taxable sales using a battery of linear and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector autoregressive and vector error-correction models with and without Bayesian priors. The non-linear models include non-parametric and semi-parametric models, smooth transition autoregressive models and artificial neural network autoregressive models. In addition to gross gaming revenue and taxable sales, we employ recently constructed coincident and leading employment indexes for Nevada’s economy. We conclude that non-linear models generally outperform linear models in forecasting future movements in gross gaming revenue and taxable sales.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://web.unlv.edu/projects/RePEc/pdf/1103.pdf
File Function: First version, 2011
Download Restriction: no

Bibliographic Info

Paper provided by University of Nevada, Las Vegas , Department of Economics in its series Working Papers with number 1103.

as in new window
Length: 46 pages
Date of creation: Mar 2011
Date of revision:
Handle: RePEc:nlv:wpaper:1103

Contact details of provider:
Phone: (702) 895-3776
Fax: (702) 895-1354
Web page: http://business.unlv.edu/econ/
More information through EDIRC

Related research

Keywords: Forecasting; Linear and non-linear models; Nevada gross gaming revenue; Nevada taxable sales;

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
  2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor and Francis Journals, vol. 21(1), pages 1-47.
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 in new window

Cited by:
  1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working papers 2012-38, University of Connecticut, Department of Economics.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:nlv:wpaper:1103

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bill Robinson).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.