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

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DOI: 10.4236/tel.2014.48079    2,402 Downloads   2,689 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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

References

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