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Testing spatial effects and random effects in a nested panel data model

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  • He, Ming
  • Lin, Kuan-Pin

Abstract

We propose a multilevel spatial econometric model including spatially correlated error, spatially lagged dependent variable, county-level random effects and nested district-level random effects within a county. We construct joint Lagrange multiplier (LM) test to detect both the spatial effects and the random effects, LM tests to detect the spatial error correlation and/or the spatial lag dependence allowing for both types of random effects, and LM tests to detect the county-level random effects and/or the nested district-level random effects allowing for both types of spatial effects. A Monte Carlo simulation is conducted to show their good finite sample performances.

Suggested Citation

  • He, Ming & Lin, Kuan-Pin, 2015. "Testing spatial effects and random effects in a nested panel data model," Economics Letters, Elsevier, vol. 135(C), pages 85-91.
    • Handle: RePEc:eee:ecolet:v:135:y:2015:i:c:p:85-91
    DOI: 10.1016/j.econlet.2015.07.028
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    References listed on IDEAS

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    More about this item

    Keywords

    Spatial dependence; Nested random effects; Lagrange multiplier test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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