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The CURA publications library is currently being digitized by the University of Minnesota Digital Conservancy. When the project is complete, the entire CURA publications library will be online and fully searchable. Unfortunately, during this process we are not able to honor individual requests for publications . Additionally, we no longer have physical copies of publications to send out.

New publications are digitized daily and the publications catalog on the CURA website is not automatically updated with links to scanned copies, so please search the CURA collection at the Digital Conservancy for the publications you are looking for:

Improving Economic Forecasting in Minnesota.

Author: 
Cherkassky, Vladimir, and Filip Mulier.

Business, schools, and many individuals rely on economic forecasts for planning and for allocating their resources. A professor of electrical and computer engineering and an advanced graduate student explored how new nonlinear modeling techniques might be used to improve the accuracy of economic forecasting in Minnesota. In 1997, working with the Economic Analysis Office of the Minnesota Department of Trade and Economic Development, they analyzed the relationship between education levels and productivity in manufacturing. Working with the Research and Statistics Office of the Minnesota Department of Economic Security, they made predictions for employment of general building contractors and for employment in the electronic equipment manufacturing sector. The improved accuracy of prediction came from the process of selecting one or two meaningful predictor variables before the new modeling methods were applied.

Journal: 
CURA Reporter
Publication date: 
1997
Publisher: 
Minneapolis: Center for Urban and Regional Affairs, University of Minnesota.
Sponsor: 
Supported by an Interactive Research Grant from CURA and the Office of the Vice President for Research, University of Minnesota.
Pages: 
27 (3): 11-16.
Online availability
Download from CURA: 
CURA call number: 
Reporter 27 (3)