On the Performance of Some Biased Estimators in a Misspecified Model with Correlated Regressors
On the Performance of Some Biased Estimators in a Misspecified Model with Correlated Regressors
Author(s): Shalini Chandra, Gargi TyagiSubject(s): Economy, National Economy, Micro-Economics, Public Finances, Socio-Economic Research
Published by: Główny Urząd Statystyczny
Keywords: omission of relevant variables; multicollinearity; r − (k , d) class estimator; mean squared error
Summary/Abstract: In this paper, the effect of misspecification due to omission of relevant variableson the dominance of the 𝑟 −(𝑘, 𝑑) class estimator proposed by Özkale (2012),over the ordinary least squares (OLS) estimator and some other competingestimators when some of the regressors in the linear regression model arecorrelated, have been studied with respect to the mean squared error criterion.A simulation study and numerical example have been demostrated to compare theperformance of the estimators for some selected values of the parametersinvolved
Journal: Statistics in Transition. New Series
- Issue Year: 18/2017
- Issue No: 1
- Page Range: 27-52
- Page Count: 26
- Language: English