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Some Monte Carlo results for a generalized error component model with heteroskedastic disturbances

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  • Robert Phillips

    (George Washington University)

Abstract

This note provides Monte Carlo evidence illustrating that feasible and true GLS estimators of the Baltagi and Griffin (1988) generalized error component model do not have the same sampling behavior. Indeed, while the true GLS estimator is consistent, a feasible GLS estimator need not be, an observation corroborated by the Monte Carlo results.

Suggested Citation

  • Robert Phillips, 2003. "Some Monte Carlo results for a generalized error component model with heteroskedastic disturbances," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-4.
    • Handle: RePEc:ebl:ecbull:eb-03c20007
    as

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    References listed on IDEAS

    as
    1. Robert F. Phillips, 2003. "Estimation of a Stratified Error-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 501-521, May.
    2. Baltagi, Badi H & Griffin, James M, 1988. "A Generalized Error Component Model with Heteroscedastic Disturbances," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(4), pages 745-753, November.
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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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