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Performance of the operational Wansbeek-Bekker estimator for dynamic panel data models

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  • Mark Harris
  • Laszlo Matyas

Abstract

Wansbeek and Bekker considered a new estimator for simple dynamic panel data models (where there are no exogenous variables) which involved a complex weighting matrix. An operational variant of this estimator is proposed which is applicable to the more realistic case where there are exogenous variables. Also proposed is an easy-to-compute approximation to the weighting matrix. The performance of this (these) new estimator(s) is examined, revealing very desirable small sample properties in a wide range of situations that the applied researcher is likely to encounter, especially in moderate time series length panels.

Suggested Citation

  • Mark Harris & Laszlo Matyas, 2000. "Performance of the operational Wansbeek-Bekker estimator for dynamic panel data models," Applied Economics Letters, Taylor & Francis Journals, vol. 7(3), pages 149-153.
  • Handle: RePEc:taf:apeclt:v:7:y:2000:i:3:p:149-153
    DOI: 10.1080/135048500351690
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    Cited by:

    1. Erik Meijer & Laura Spierdijk & Tom Wansbeek, 2012. "Point and Set Identification in Linear Panel Data Models with Measurement Error," Working Papers WR-941, RAND Corporation.
    2. Simon Feeny & Mark Harris & Mark Rogers, 2005. "A dynamic panel analysis of the profitability of Australian tax entities," Empirical Economics, Springer, vol. 30(1), pages 209-233, January.
    3. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.

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