Neural networks and revenue forecasting: a smarter forecast?

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.

MoreLess

Year of publication:	2006
Authors:	Voorhees, William R.
Published in:	International Journal of Public Policy. - Inderscience Enterprises Ltd, ISSN 1740-0600. - Vol. 1.2006, 4, p. 379-388
Publisher:	Inderscience Enterprises Ltd
Subject:	artificial neural networks \| revenue forecasting \| informatics techniques \| sales tax \| public policy \| public sector \| state government \| USA \| United States

Online Resource

Check full text access |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

More details

Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008564010