Geostatistical model is one of spatial statistical methodologies used for correcting spatial autocorrelation problem. To apply this model, two common assumptions should be made to allow global homogeneity: spatial continuity and spatial stationary. In different fields of research such as...

This paper aims to contrast the spillover effects in business failure derived from the geographic proximity among firms of the same sector. To get this purpose, we develop an empirical application based on the analysis of the join-count statistics on a sample of firms of service sector located...

In this paper, we suggest a general framework that allows testing simultaneously for temporal heterogeneity, spatial heterogeneity and spatial autocorrelation in beta-convergence models. Based on a sample of 145 European regions over the 1980-1999 period, we estimate a Seemingly Unrelated...

We show in this paper that spatial dependence and spatial heterogeneity matter in the estimation of the b-convergence process among 138 European regions over the 1980-1995 period. Using spatial econometrics tools, we detect both spatial dependence and spatial heterogeneity in the form of...

In this paper, we suggest a general framework that allows testing simultaneously for temporal heterogeneity, spatial heterogeneity and spatial autocorrelation in b-convergence models. Based on a sample of 145 European regions over the 1980-1999 period, we estimate a Seemingly Unrelated...

L'objectif de cet article est d'analyser la dépendance spatiale dans les processus de convergence des régions européennes. D'une part nous appliquons les méthodes récemment développées de l'analyse exploratoire des données spatiales (Anselin, 1996) pour affiner la description de la...

Les méthodes de l'économétrie spatiale visent à traiter les deux grandes particularités des données spatiales : l'autocorrélation spatiale qui se réfère à l'absence d'indépendance entre observations géographiques et l'hétérogénéité spatiale qui est liée à la différenciation...

Les méthodes de l'économétrie spatiale visent à traiter les deux grandes particularités des données spatiales : l'autocorrélation spatiale qui se réfère à l'absence d'indépendance entre observations géographiques et l'hétérogénéité spatiale qui est liée à la différenciation...

Measurement error in an independent variable is one reason why OLS estimates may not be consistent. However, as shown by Dagenais (1994), in some circumstances the OLS bias may be ameliorated somewhat given the presence of serially correlated disturbances, and OLS may prove superior to standard...