2004
DOI: 10.1177/0160017603262402
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Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach

Abstract: The purpose of this article is to study the evolution of GDP disparities among 138 European regions over the period from 1980 to 1995. Regional per capita GDP cross-sectional distribution is characterized by means of nonparametric estimations of density functions, and the growth process is modeled as a first-order stationary Markov chain. Spatial effects are then introduced within the Markov chain framework using regional conditioning and spatial Markov chains. The results of the analysis indicate the persiste… Show more

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Cited by 197 publications
(160 citation statements)
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“…Instead Magrini (1999), using similar empirical approaches, find such evidence for extended samples of European regions. However, the two modes in the European regional distributions are not as well separated as those detected in the cross-country distribution (Le Gallo, 2004).…”
Section: Multimodality and Changing Shapementioning
confidence: 65%
“…Instead Magrini (1999), using similar empirical approaches, find such evidence for extended samples of European regions. However, the two modes in the European regional distributions are not as well separated as those detected in the cross-country distribution (Le Gallo, 2004).…”
Section: Multimodality and Changing Shapementioning
confidence: 65%
“…Various studies have examined the possible presence of spatial dependence in the context of the EU by applying a set of spatial econometric techniques (Fingleton, 1999;López-Bazo et al, 1999;Le Gallo and Ertur, 2003). In this paper, however, we based our analysis of the subject on a new conditioned distribution, obtained in this case by normalising theŷ i value of each region according to the average virtual productivity of its adjacent regions (Quah, 1996c;Le Gallo, 2004).…”
mentioning
confidence: 99%
“…Recent examples of its application to the European case can be found in Overman and Puga (2002) or Le Gallo (2004).…”
mentioning
confidence: 99%
“…Most of the applications of this approach have worked in a discrete state space set up 4 (see Quah 1996a, b, Fingleton 1997, López-Bazo et al 1999, Magrini 1999, Rey 2001, LeGallo 2004 to mention some). This set up has several advantages, but the process of discretising the state space of a continuous variable is necessarily arbitrary.…”
Section: Measuring Regional Income and The Extent To Which Convergencmentioning
confidence: 99%