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The Influence of Spatially Correlated Heteroskedasticity on Tests for Spatial Correlation

  • Harry H. Kelejian
  • Dennis P. Robinson
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

In cross sectional regression models the possibility of spill-overs between neighboring units is increasingly being recognized in both the theoretical and applied literature.1 Within a regression framework, typically recognized forms of such spill-overs relate to the model’s dependent and independent variables, as well as to the error terms. General issues relating to spill-overs suggest that the model's error terms may be spatially correlated. Because the statistical properties of the regression parameter estimators depend upon whether or not the error terms are indeed spatially correlated, tests for such correlation are frequently considered.2

Keywords

Error Term Spatial Correlation Endogenous Variable Cross Sectional Unit Robust Version 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Harry H. Kelejian
    • 1
  • Dennis P. Robinson
    • 2
  1. 1.University of MarylandUSA
  2. 2.University of Arkansas at Little RockUSA

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