Combining ridge and principal component regression:a money demand illustration
Michael R. Baye, Darrell Parker
Abstract
Michael R. Baye, Darrell Parker
Abstract
In this paper we examine a class of estimators which includes ordinary least squares, ordinary ridge regression, and principal components regression. It is demonstrated that gains exist from jointly utilizing the PCR and ORR techniques.A money demand example is utilized to illustrate alternative estimators.
OpenAlex reports 111 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper we examine a class of estimators which includes ordinary least squares, ordinary ridge regression, and principal components regression. It is demonstrated that gains exist from jointly utilizing the PCR and ORR techniques.A money demand example is utilized to illustrate alternative estimators.
Key concepts: Ordinary least squares, Principal component regression, Estimator, Ridge, Principal component analysis, Regression, Econometrics, Statistics