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

Year 2015, Volume: 44 Issue: 5, 1215 - 1233, 01.10.2015

Berrin Gültay , Selahattin Kaçıranlar

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.

Keywords

Finite distributed lag model, Almon estimator, Ridge estimator, Liu estimator

References

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