Mean square error comparisons of the alternative estimators for the distributed lag models
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.
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Details
Primary Language
English
Subjects
Statistics
Journal Section
Research Article
Publication Date
October 1, 2015
Submission Date
December 15, 2013
Acceptance Date
September 14, 2014
Published in Issue
Year 2015 Volume: 44 Number: 5