Difference Based Ridge and Liu Type Estimators in Semiparametric Regression Models
SFB 649 Discussion Paper 2011-014
25 Pages Posted: 9 Jan 2017
Date Written: March 3, 2011
Abstract
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε. Both estimators are analysed and compared in the sense of mean-squared error. We consider the case of independent errors with equal variance and give conditions under which the proposed estimators are superior to the unbiased difference based estimation technique. We extend the results to account for heteroscedasticity and autocovariance in the error terms. Finally, we illustrate the performance of these estimators with an application to the determinants of electricity consumption in Germany.
Keywords: Difference based estimator, Differencing estimator, Differencing matrix, Liu estimator, Liu type estimator, Multicollinearity, Ridge regression estimator, Semiparametric model
JEL Classification: C14, C51
Suggested Citation: Suggested Citation