Abstract
A new operational Generalized Ridge Regression (GRR) estimator is presented which is characterized by a new procedure to estimate the shrinkage parameters. Compared with the usual operational GRR estimator, the one proposed here enjoys the advantage that its shrinkage parameters are bounded. The finite sample properties of the resulting GRR estimator are derived in the context of the Classical Linear Regression Model with normally distributed disturbances.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
