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Testing for Spatial Correlations with Randomly Missing Observations in the Dependent Variable
College of Sciences, Shanghai Institute of Technology, Shanghai, China
Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China
- 1 College of Sciences, Shanghai Institute of Technology, Shanghai, China
- 2 Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China
Theoretical Economics Letters·Volume 04 (2014)·Pages 623–633·Published 7 October 2014·DOI10.4236/tel.2014.48079
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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.
KeywordsLM TestSpatial CorrelationsMissing DataDependent Variable
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