0000000000613244
AUTHOR
Julie Le Gallo
Econométrie spatiale (2, Hétérogénéité spatiale)
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 art…
A spatial econometric analysis of geographic spillovers and growth for European regions, 1980-1995
The aim of this paper is to consider the geographical dimension of data in the estimation of the convergence of European regions and to emphasize geographic spillovers in regional economic growth phenomena. In a sample of 138 European regions over the 1980-1995 period, we show that the unconditional /? -convergence model is misspecified due to spatially autocorrelated errors. Its estimation by Ordinary Least Squares leads to inefficientestimators and invalid statistical inference. Using spatial econometric methods and a distance based weight matrix we then estimate an alternative specification, which takes into account the spatial autocorrelation detected and leads to reliable statistical i…
Les schémas de concentration sectorielle au sein de l'Union Européenne : l'Est miroir de l'Ouest ?
International audience; Cet article analyse l’évolution de la concentration sectorielle européenne à partir de deux échantillons derégions, celles de l’UE-15 sur 1980-2004 et celles des PECO sur 1990-2004. L’indice d’entropie utilisé parBrülhart et Traeger (2005) est calculé pour les secteursagricole, manufacturier et de services. La significativitéstatistique des écarts entre des sous-périodes est évaluée avec une procédure de type block-bootstrap.Nos résultats montrent une évolution des schémas de concentration sectorielle dans l’UE-15 et dans lesPECO, corroborant les enseignements des modèles d’économie géographique: la baisse des coûts detransaction modifie les schémas de concentration …
Geographic spillover and growth (a spatial econometric analysis for european regions)
The aim o f this paper is to integrate the geographical dimension o f data in the estimation o f the convergence o f European regions and emphasize the importance o f spatial effects in regional economic growth phenomena. In a sample o f 122 European regions over the 1980-1995 period, we find strong evidence o f spatial autocorrelation in the unconditional /^-convergence model using spatial econometric methods with different weight matrices: a simple contiguity matrix and 4 distance-based matrices. Therefore, this standard beta-convergence model exhibit misspecification, its estimation by OLS leads to inefficient estimators and invalid statistical inference. We suggest then a “minimal” spec…
Intra-urban spatial distributions of population and employment : the case of the agglomeration of Dijon, 1999
The aim of this paper is to analyze the intra-urban spatial distributions of population and employment in the agglomeration of Dijon (regional capital of Burgundy, France). We study whether this agglomeration has followed the general tendency of job decentralization observed in most urban areas or whether it is still characterized by a monocentric pattern. In that purpose, we use a sample of 136 observations at the communal and at the IRIS (infra-urban statistical area) levels with 1999 census data and the employment database SIRENE (INSEE). First; we study the spatial pattern of total employment and employment density using exploratory spatial data analysis. Apart from the CBD, few IRIS ar…