Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach:

By J. Le Gallo. 2004

271 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/796d1a80afc993c51607a9e308deedc950e3e47e

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Citations in the corpus

Dynamics, Space, and Regional Inequality in Provincial China: A Case Study of Guangdong Province (2012, methodology): “A possible way to remedy this inadequacy is to track the evolution of each county’s position in the distribution shapes and examine the transition probability matrices in a Markov-chain like process (Le Gallo, 2004).”
Regional disparities in the European Union: Convergence and Agglomeration (2008, result): “From a cohesion perspective these results allow for a more optimistic view than suggested by some other recent studies (Maza and Villaverde-Castro 2002; LeGallo 2004).”
A likelihood ratio test for bimodality in two-component mixtures with application to regional income distribution in the EU (2008, unknown): “is less clear (cf. e.g. Quah, 1996, and Le Gallo, 2004 ).”
Empirical evidence of income dynamics across EU regions (2006, background): “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).”
The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter? (2006, background): “These results are highlighted for European regions by Le Gallo (2004), who analyzed the transitional dynamics of per capita GDP over the period 1980 to 1995 by means of spatial Markov chains approach: the cluster of the poorest European regions in Southern Europe creates a great disadvantage for…”
Space and Growth (2004, background): “Le Gallo et al. (2003) 5 U B W2 Lundberg (2003a) 5 NN B W5 Lundberg (2003b) 3 S B W1”
Measurement of intra-distribution dynamics: An application of different approaches to the European regions (2008, methodology): “Recent papers employing this methodology are, for instance, Le Gallo (2004) and Tortosa et al. (2005).”