Spatial econometrics (2, Spatial heterogeneity)
Econométrie spatiale (2, Hétérogénéité spatiale)
Julie Le Gallo ()
Working Papers from HAL
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. The first part deals with spatial autocorrelation (working paper n°2000-05) and this second part deals with spatial heterogeneity (working paper n°2001-01).
Keywords: Spatial autocorrelation; Management economics; Economics; Economic theory; Gestion; Economie; Management (search for similar items in EconPapers)
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01526969
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Published in [Rapport de recherche] Laboratoire d'analyse et de techniques économiques(LATEC). 2000, 36 p., Figure, ref. bib. : 3 p
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01526969
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().