Evaluating The Forecast of Densities of Linear and Non-Linear Models: Applications to Output Growth and Unemployment
In economics density forecasts are rarely available, and as a result attention has traditionally focused on poit forecasts of the mean and the use of mean square error statistics to represent the loss function. We extend the methods of forecasts density evaluation in Diebold, Gunther and Tay (1997) to compare linear and non-linear model based forecasts of US out put growth and changes in the unemployment rate.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1998|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +44 (0) 2476 523202
Fax: +44 (0) 2476 523032
Web page: http://www2.warwick.ac.uk/fac/soc/economics/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:wrk:warwec:509. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Helen Neal)
If references are entirely missing, you can add them using this form.