A note on the properties of Stein-rule and inequality restricted estimators when the regression model is over-fitted

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Sherry Zhefang Zhou

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)315-320
Journal / PublicationJournal of Systems Science and Complexity
Volume23
Issue number2
Publication statusPublished - Apr 2010

Abstract

This paper considers the effect of an erroneous inclusion of regressors on the risk properties of the Stein-rule, positive-part Stein-rule and inequality restricted and pre-test estimators in a linear regression model. The two Stein-rule estimators are considered when extraneous information is available in the form of a set of multiple equality constraints on the coefficients, while the inequality estimators are considered under the case of a single inequality constraint. It is shown that the inclusion of wrong regressors has only minimal effect on the properties of the Stein-rule and positive-part Stein-rule estimators, and no effect at all on the inequality restricted and pre-test estimators when there is a single inequality constraint. © 2010 Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg.

Research Area(s)

  • Inequality restricted estimator, Linear regression model, Model misspecification, Stein-rule estimator