2007
DOI: 10.1007/s00181-007-0168-8
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A spatially filtered mixture of β-convergence regressions for EU regions, 1980–2002

Abstract: Regional growth, Convergence patterns, Mixture regression, Spatial effects, C21, O40, R11,

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Cited by 63 publications
(12 citation statements)
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“…On the other hand, according to Martín [44], another of the main criticisms of "traditional" fixed effects panel models is the bias generated by possible spatial dependencies among regional economies. To deal with spatial interdependence or geographical "spillovers", in studies such as Getis and Griffith [76], Badinger, Müller and Tondl [77] and Battisti and Di Viaio [78] the estimations are made by previously identifying this interdependence through indexes such as Autocorrelation I of Moran or Geary C; others such as Rey and Montouri [79], Fingleton and Lopez-Bazo [80] or Arbia [81], that introduce a spatial "term" in the convergence equation: the spatial error term or the spatially lagged variables. In this sense, and considering the interest in analysing the impact of space on the phenomenon of regional convergence in the Ecuadorian case, a Spatial Durbin Model (sdm) will be estimated for fixed effects, with the purpose of collecting the impact of unobservable effects on the provincial convergence model per capita and in productivity.…”
Section: Panel Model With Fixed Effectsmentioning
confidence: 99%
“…On the other hand, according to Martín [44], another of the main criticisms of "traditional" fixed effects panel models is the bias generated by possible spatial dependencies among regional economies. To deal with spatial interdependence or geographical "spillovers", in studies such as Getis and Griffith [76], Badinger, Müller and Tondl [77] and Battisti and Di Viaio [78] the estimations are made by previously identifying this interdependence through indexes such as Autocorrelation I of Moran or Geary C; others such as Rey and Montouri [79], Fingleton and Lopez-Bazo [80] or Arbia [81], that introduce a spatial "term" in the convergence equation: the spatial error term or the spatially lagged variables. In this sense, and considering the interest in analysing the impact of space on the phenomenon of regional convergence in the Ecuadorian case, a Spatial Durbin Model (sdm) will be estimated for fixed effects, with the purpose of collecting the impact of unobservable effects on the provincial convergence model per capita and in productivity.…”
Section: Panel Model With Fixed Effectsmentioning
confidence: 99%
“…Mora (2005), Fischer and Stirbock (2006) and Battisti and Vaio (2008) study optimal regional convergence clubs in the European Union. Their primary goal is to define clubs of regions within the European Union sharing the same characteristics in terms of income growth convergence.…”
Section: Introductionmentioning
confidence: 99%
“…They find evidence of the presence of two spatial regimes. Procedures comprising spatial filtering techniques before the actual regression analysis are also proposed by Badinger et al (2004) and Battisti and Vaio (2008) with, however, differing results: across European NUTS-2 regions, Badinger et al (2004) find evidence for conditional convergence, whereas Battisti and Vaio's (2008) mixture regression approach suggests that the majority of European regions shows no tendency to converge. Ramajo et al (2008) explicitly consider spatial heterogeneity and spatial autocorrelation in their regression framework.…”
mentioning
confidence: 99%