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The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions

Author

Listed:
  • Angulo, Ana M.

    (Department of Economic Analysis. University of Zaragoza)

  • Mur, Jesús

    (Department of Economic Analysis. University of Zaragoza)

Abstract

The Spatial Durbin model occupies an interesting position in SpatialEconometrics. It is the reduced form of a model with cross-sectional dependencein the errors and it may be used as the nesting equation in a more general approachof model selection. Specifically, in this equation we can obtain the Likelihood Ratiotest of Common Factors (LRCOM). This test has good properties if the model iscorrectly specified, as shown in Mur and Angulo (2006). However, as far as weknow, there is no literature in relation to the behaviour of the test under non-idealconditions, which is the purpose of the paper. Specifically, we study the performanceof the test in the case of heteroscedasticity, non-normality, endogeneity,dense weighting matrices and non-linearity. Our results offer a positive view of theLikelihood Ratio test of Common Factors, which appears to be a useful techniquein the toolbox of spatial econometrics.

Suggested Citation

  • Angulo, Ana M. & Mur, Jesús, 2011. "The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 37-52.
    • Handle: RePEc:ris:invreg:0030
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    References listed on IDEAS

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    Cited by:

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    3. Michael Berlemann & Vera Jahn, 2016. "Regional Importance of Mittelstand Firms and Innovation Performance," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1819-1833, November.
    4. Jahn, Vera, 2015. "The Importance of Mittelstand Firms for Regional Apprenticeship Activity - Lessons for Policy -," Working Paper 158/2015, Helmut Schmidt University, Hamburg.
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    More about this item

    Keywords

    Likelihood Ratio Test of Common Factor; Heteroscedasticity; Nonnormality; Endogeneity; Non-linearity;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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