Fischer, Manfred M., Stumpner, Peter. 2008. Income distribution dynamics and cross-region convergence in Europe: Spatial filtering and novel stochastic kernel representations. Journal of Geographical Systems 10 (2), 109-140.
BibTeX
Abstract
This paper presents a continuous version of the model of distribution dynamics to analyse the transition dynamics and implied long-run behaviour of the EU-27 NUTS-2 regions over the period 1995-2003. It departs from previous research in two respects: first, by introducing kernel estimation and three-dimensional stacked conditional density plots as well as highest density regions plots for the visualisation of the transition function, based on Hyndman et al. (1996), and second, by combining GetisÂ’ spatial filtering view with kernel estimation to explicitly account for the spatial dimension of the growth process. The results of the analysis indicate a very slow catching-up of the poorest regions with the richer ones, a process of shifting away of a small group of very rich regions, and highlight the importance of geography in understanding regional income distribution dynamics.
Tags
Press 'enter' for creating the tagPublication's profile
Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Journal article |
Journal | Journal of Geographical Systems |
Citation Index | SSCI |
WU-Journal-Rating new | VW-D |
Language | English |
Title | Income distribution dynamics and cross-region convergence in Europe: Spatial filtering and novel stochastic kernel representations |
Volume | 10 |
Number | 2 |
Year | 2008 |
Page from | 109 |
Page to | 140 |
Reviewed? | Y |
URL | http://ssrn.com/abstract=981148 |
DOI | 10.1007/s10109-008-0060-x |
Associations
- Projects
- Regional Income Growth and Club-Convergence in Europe - Insights From a Spatial Econometric Perspective
- People
- Fischer, Manfred M. (Details)
- Stumpner, Peter (Former researcher)
- Organization
- Research Institute for Supply Chain Management FI (Details)
- Institute for Economic Geography and GIScience IN (Details)