Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models

被引:542
|
作者
Bruno, GSF [1 ]
机构
[1] Univ Bocconi, Ist Econ Polit, I-20136 Milan, Italy
关键词
bias approximation; unbalanced panels; dynamic panel data; LSDV estimator; Monte Carlo experiment;
D O I
10.1016/j.econlet.2005.01.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper extends the LSDV bias approximations in [Bun, B.J.G., Kiviet, J.F. 2003. On the diminishing returns of higher order terms in asymptotic expansions of bias. Economic letters, 79, 145-152.] to unbalanced panels. The approximations are obtained by modifying the within operator to accommodate the dynamic selection rule. They are accurate, with higher order terms bringing only decreasing improvements to the approximations. This removes an important cause for limited applicability of bias corrected LSDV estimators. © 2005 Elsevier B.V. All rights reserved.
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页码:361 / 366
页数:6
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