Mean square error comparisons of the alternative estimators for the distributed lag models

GÜLTAY B., KAÇIRANLAR S.

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, vol.44, no.5, pp.1215-1233, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 44 Issue: 5
  • Publication Date: 2015
  • Doi Number: 10.15672/hjms.2014357556
  • Journal Name: HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1215-1233
  • Keywords: Finite distributed lag model, Almon estimator, Ridge estimator, Liu estimator, BIASED REGRESSION-ESTIMATORS, RIDGE REGRESSION, NONORTHOGONAL PROBLEMS, LINEAR-REGRESSION
  • Çanakkale Onsekiz Mart University Affiliated: Yes

Abstract

The finite distributed lag models include highly correlated variables as well as lagged and unlagged values of the same variables. Some problems are faced for this model when applying the ordinary least squares (OLS) method or econometric models such as Almon and Koyck models. The primary aim of this study is to compare the performances of alternative estimators to the OLS estimator defined by combining the Almon estimator with some other estimators according to the mean square error (MSE) criterion. We use Almon [2] data to illustrate our theoretical results.