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Neural networks and revenue forecasting: a smarter forecast?

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  • William R. Voorhees
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    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.

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    File URL: http://www.inderscience.com/link.php?id=10843
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    Bibliographic Info

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Public Policy.

    Volume (Year): 1 (2006)
    Issue (Month): 4 ()
    Pages: 379-388

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    Handle: RePEc:ids:ijpubp:v:1:y:2006:i:4:p:379-388

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    Web page: http://www.inderscience.com/browse/index.php?journalID=97

    Related research

    Keywords: artificial neural networks; revenue forecasting; informatics techniques; sales tax; public policy; public sector; state government; USA; United States.;

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