Testing for Spatial Correlations with Randomly Missing Observations in the Dependent Variable

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DOI: 10.4236/tel.2014.48079    3,029 Downloads   3,639 Views  
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ABSTRACT

We consider LM tests for spatial correlations in the spatial error model (SEM) and spatial autoregressive model (SAM) with randomly missing data in the dependent variable. We derive the formulas of the LM test statistics and provide finite sample performance of the LM tests through Monte Carlo experiments.

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Gao, J. and Wang, W. (2014) Testing for Spatial Correlations with Randomly Missing Observations in the Dependent Variable. Theoretical Economics Letters, 4, 623-633. doi: 10.4236/tel.2014.48079.

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