The evolution of income disparities among the regions of the European Union

Magrini, Stefano

doi:10.1016/s0166-0462(98)00039-8

Cited by 228 publications

(175 citation statements)

References 23 publications

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“…Quah (1996b) does not find evidence supporting a twin-peaks phenomenon over the 1980-1989 period (for a sample of 78 regions). 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: 88%

“…Functional criteria have also been adopted in the literature, as the Functional Urban Regions (FURs) which take into consideration the spatial sphere of socio-economic influence of any basic unit (Cheshire and Carbonaro, 1995;Magrini, 1999). However, data availability often requires to be attached to normative criteria for the selection of sub-national units.…”

Section: Datamentioning

confidence: 99%

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Empirical evidence of income dynamics across EU regions

Pittau

Zelli

2006

J of Applied Econometrics

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This paper analyses the distribution of purchasing power standardised per capita income across EU-12 regions between 1977 to 1996. Dispersion of incomes between regions is measured taking into account their population sizes. The cross-sectional distributions are initially described by weighted kernel density estimates, revealing a multimodal structure of the distributions, less evident over the period. This evidence is supported by a bootstrap test. To detect homogeneous groups of regions, the empirical distributions are approximated by finite mixture of normal densities. The components of the mixture represent clusters of poor/rich regions, while the mixing proportions the allocation over the poor and the rich components. The number of components is assessed by a bootstrap LR test, while the goodness of fit by a kernel-density-based test. Income mobility is modelled by the stochastic kernel, the continuous counterpart of the transition probability matrix. The main implication is a very slow process of catching up of the poorest regions with the richer ones and a process of shifting away of a small group of very rich regions. This evidence is reflected in the shape of the ergodic distribution which is well fitted by a two-component mixture model.

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Section: Multimodality and Changing Shapementioning

confidence: 88%

Section: Datamentioning

confidence: 99%

Empirical evidence of income dynamics across EU regions

Pittau

Zelli

2006

J of Applied Econometrics

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“…Again, there are difficulties in examining this, not least as the 'regional problem' is contingent on how space is divided (Parr, 2009). Further, inevitably, there are issues at the European Union level about the functionality of regions (Magrini, 1999) and about the quality of the data itself (Combes and Overman, 2004).…”

Section: The 'Regional Problem'mentioning

confidence: 99%

Onward the Spatial: an Essay on the Nature and Relevance of Regional Economics

Wren¹

2009

Spatial Economic Analysis

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The full-text may be used and/or reproduced and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not for profit purposes provided that:• A full bibliographic reference is made to the original source • A link is made to the metadata record in DRO • The full text is not change in any way.The full-text must not be sold in any format or medium without the formal permission of the copyright holders. theory and the appropriate spatial scale; the 'regional problem'; and regional policy. It finds reasons to suggest that the 'region' is of less importance, but argues that the use of the term 'spatial' does not reflect dissatisfaction with regional economics, but it signals the reinvigoration of the subject from its formal connection to mainstream Economics. This is primarily in the form of the new economic geography model, although limitations of this can lead to an unsatisfactory form of regional policy based on growth theory.

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“…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%