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Spatial econometrics (1, Spatial autocorrelation)
[Econométrie spatiale (1, Autocorrélation spatiale)]

Author

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  • Julie Le Gallo

    (LATEC - Laboratoire d'Analyse et de Techniques Economiques [UMR 5118] - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Spatial econometric methods aim at taking into account the two special characteristics of spatial data: spatial autocorrelation, which is the lack of independence between geographical observations, and spatial heterogeneity, which is related to the differentiation of variables and behaviors in space. These techniques have been mostly developed the last ten years and are more often applied in empirical studies with geographical data. The aim of this article is to present the way spatial autocorrelation and spatial heterogeneity can be incorporated in regression relationships and to present the estimation and inference procedures adapted to the models incorporating these two effects. This article is divided in two parts. This first part deals with spatial autocorrelation (working paper N° 2000-05) and the second part will deal with spatial heterogeneity.

Suggested Citation

  • Julie Le Gallo, 2000. "Spatial econometrics (1, Spatial autocorrelation) [Econométrie spatiale (1, Autocorrélation spatiale)]," Working Papers hal-01527290, HAL.
    • Handle: RePEc:hal:wpaper:hal-01527290
    Note: View the original document on HAL open archive server: https://hal.science/hal-01527290
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