Approximating the Bias of the LSDV Estimator for Dynamic Unbalanced Panel Data Models

نویسنده

  • Giovanni S.F. Bruno
چکیده

This paper extends the LSDV bias approximations in Bun and Kiviet (2003) 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. This removes an important cause for limited applicability of bias corrected LSDV estimators.

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تاریخ انتشار 2004