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Bias Reduction in Estimating Long-run Relationships from Dynamic Heterogenous Panels

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Abstract

This paper considers the small sample properties of the mean group estimator of the long-run coefficients in dynamic heterogeneous panels, and using Monte Carlo techniques examines the effectiveness of a number of alternative bias-correction procedures in reducing the small sample bias of these estimates. Four different bias-corrected estimators of the long-run coefficients are considered. A `naive' procedure which attempts to bias-correct the estimator of the long-run coefficients, two variations of a direct approach which derives bias-corrections of the estimators of the short-run coefficients, and a bootstrap bias- correction procedure.

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  • Pesaran, M. H. & Zhao, Z., 1998. "Bias Reduction in Estimating Long-run Relationships from Dynamic Heterogenous Panels," Cambridge Working Papers in Economics 9802, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:9802
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    Cited by:

    1. Maurice J. G. Bun, 2003. "Bias Correction in the Dynamic Panel Data Model with a Nonscalar Disturbance Covariance Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 29-58, February.
    2. Andrew Hallett & Gert Peersman & Laura Piscitelli, 2004. "Investment Under Monetary Uncertainty: A Panel Data Investigation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(2), pages 137-162, June.
    3. Yongcheol Shin & Ron P Smith & Mohammad Hashem Pesaran, 1998. "Pooled Mean Group Estimation of Dynamic Heterogeneous Panels," Edinburgh School of Economics Discussion Paper Series 16, Edinburgh School of Economics, University of Edinburgh.
    4. Andrew Hughes Hallett & Gert Peersman & Laura Piscitelli, 2004. "Investment Under Monetary Uncertainty: A Panel Investigation," Vanderbilt University Department of Economics Working Papers 0406, Vanderbilt University Department of Economics.

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