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Neural networks and revenue forecasting: a smarter forecast?

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  • William R. Voorhees

Abstract

The use of neural networks has been slow in coming to the public sector. One promising area in which neural networks are likely to prove beneficial is in the area of revenue forecasting. A sales tax forecasting model is developed and compared to the actual collections for the State of Indiana. The model shows that neural networks are likely to provide additional information that more traditional forecasting techniques may not utilise.

Suggested Citation

  • William R. Voorhees, 2006. "Neural networks and revenue forecasting: a smarter forecast?," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 1(4), pages 379-388.
  • Handle: RePEc:ids:ijpubp:v:1:y:2006:i:4:p:379-388
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