EconPapers    
Economics at your fingertips  
 

Économétrie spatiale: l'autocorrélation spatiale dans les modèles de régression linéaire

Julie Le Gallo

Economie & Prévision, 2002, vol. 155, issue 4, 139-157

Abstract: The aim of this article is to describe the tools necessary to factor in automatic spatial correlation determined by the absence of independence between geographical observations, within the framework of linear regression models. While it is often accepted that spatial data in cross-sections are independent, this assumption is rarely justified. On the contrary, it needs to be tested systematically. After explaining the ways in which to model automatic spatial correlation, we therefore describe estimation and inference procedures geared to econometric models that factor in this effect explicitly. Lastly, we propose a general approach to test and factor in automatic spatial correlation in empirical work.

Keywords: automatic spatial correlation; spatial econometrics; geographical spillover effects (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.cairn.info/load_pdf.php?ID_ARTICLE=ECOP_155_0139 (application/pdf)
http://www.cairn.info/revue-economie-et-prevision-1-2002-4-page-139.htm (text/html)
free

Related works:
Journal Article: Économétrie spatiale: l'autocorrélation spatiale dans les modèles de régression linéaire (2002) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cai:ecoldc:ecop_155_0139

Access Statistics for this article

More articles in Economie & Prévision from La Documentation Française
Bibliographic data for series maintained by Jean-Baptiste de Vathaire ().

 
Page updated 2025-03-22
Handle: RePEc:cai:ecoldc:ecop_155_0139