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Tests for Unbalanced Error Component Models Under Local Misspecication

Author

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  • Walter Sosa Escudero

    () (Department of Economics Universidad de San Andrés)

  • Anil K. Bera

    (Department of Economics University of Illinois)

Abstract

This paper derives unbalanced versions of the tests statistics for ¯rst order serial correlation and random individual e®ects summarized in Sosa Escudero and Bera (2001), and updates their xttest1 routine. The derived tests 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. Also, as it was the case of the previously available tests, the test statistics proposed here are based on the OLS residuals, and hence are computationally very simple.

Suggested Citation

  • Walter Sosa Escudero & Anil K. Bera, 2008. "Tests for Unbalanced Error Component Models Under Local Misspecication," CEDLAS, Working Papers 0065, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0065
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    References listed on IDEAS

    as
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    Cited by:

    1. Walter Sosa-Escudero & Mariana Marchionni & Omar Arias, 2011. "Sources of Income Persistence: Evidence from Rural El Salvador," Journal of Income Distribution, Journal of Income Distribution, vol. 20(1), pages 3-28, March.
    2. Ricardo Bebczuk, 2009. "SME Access to Credit in Guatemala and Nicaragua: Challenging Conventional Wisdom with New Evidence," CEDLAS, Working Papers 0080, CEDLAS, Universidad Nacional de La Plata.
    3. repec:hal:journl:peer-00768191 is not listed on IDEAS

    More about this item

    Keywords

    error components model; unbalanced panel data; testing; misspecification.;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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