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Do Spatial Effecfs Really Matter In Regression Analysis?

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  • Luc Anselin
  • Daniel A. Griffith

Abstract

ABSTRACT A substantial hotly of applied statistical and econometric analysis in regional science and geography deals with data collected for aggregate spatial units of observation. These data are typically affected by a variety of measurement problems, resulting in spatial dependence and spatial heterogeneity. However, most of the empirical work fails to take this into account. In this paper, we address the issue of the extent to which spatial effects matter in applied regression analysis. An overview of the formal methodological problems is given, and related to the literature in spatial statistics and spatial econometrics.

Suggested Citation

  • Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    • Handle: RePEc:bla:presci:v:65:y:1988:i:1:p:11-34
    DOI: 10.1111/j.1435-5597.1988.tb01155.x
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