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Tests for Unbalanced Error Components Models Under Local Misspecification

Author

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  • Walter Sosa Escudero

    (Department of Economics, Universidad de San Andres)

  • Anil K. Bera

    (University of Illinois)

Abstract

This paper derives unbalanced versions of the test statistics for first- order serial correlation and random individual effects summarized in Sosa-Escudero and Bera (2001, Stata Technical Bulletin Reprints, vol. 10, pp. 307–311), and up- dates their xttest1 routine. The derived test statistics should be useful for applied researchers faced with the increasing availability of panel information where not every individual or country is observed for the full time span. The test statis- tics proposed here are based on ordinary least-squares residuals and hence are computationally very simple. Copyright 2008 by StataCorp LP.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Walter Sosa Escudero & Anil K. Bera, 2005. "Tests for Unbalanced Error Components Models Under Local Misspecification," Working Papers 81, Universidad de San Andres, Departamento de Economia, revised Dec 2007.
    • Handle: RePEc:sad:wpaper:81
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    References listed on IDEAS

    as
    1. Bera, Anil K. & Sosa-Escudero, Walter & Yoon, Mann, 2001. "Tests for the error component model in the presence of local misspecification," Journal of Econometrics, Elsevier, vol. 101(1), pages 1-23, March.
    2. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, vol. 9(4), pages 649-658, August.
    3. Anand, Sudhir & Kanbur, S. M. R., 1993. "Inequality and development A critique," Journal of Development Economics, Elsevier, vol. 41(1), pages 19-43, June.
    4. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
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