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Asymptotic Properties of the Estimator of the Long-run Coefficient in a Dynamic Model with Integrated Regressors and Serially Correlated Errors

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Author Info
Zonglu He (Risshikan University)
Koichi Maekawa (Faculty of Economics, Hiroshima University)
Michael McAleer (Department of Economics, University of Western Australia)

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Abstract

In this paper we examine the asymptotic properties of the estimator of the long-run coefficient (LRC) in a dynamic regression model with integrated regressors and serially correlated errors. We show that the OLS estimators of the regression coefficients are inconsistent but the OLS-based estimator of the LRC is superconsistent. Furthermore, we propose an alternative consistent estimator of the LRC, compare the two estimators through a Monte Carlo experiment, and find that the proposed estimator is MSE-superior to the OLS-based estimator.

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File URL: http://www.e.u-tokyo.ac.jp/cirje/research/dp/2003/2003cf215.pdf
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Publisher Info
Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-215.

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Length: 35 pages
Date of creation: Mar 2003
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Handle: RePEc:tky:fseres:2003cf215

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  1. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March. [Downloadable!] (restricted)
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