VC - A Program for Estimating Time-Varying Coefficients
VC implements Schlicht's method for estimating a linear regression with time-varying coefficients. The variances are estimated by a moments estimator that performs better than the corresponding likelihood estimator in small samples and coincides with the likelihood estimator in large samples. Instead of the usual parametrization by initial values, an orthogonal parametrization is used, and instead of the one-sided Kalman filter, a statistically superior two-sided filter is implemented. The program runs under Windows. The most recent version of the software is available at www.lrz.de/~ekkehart
|Date of creation:||2005|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.vwl.uni-muenchen.de
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:lmu:muenso:684. 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: (Tamilla Benkelberg)
If references are entirely missing, you can add them using this form.