Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects
This paper studies the convergence of per capita GDP across European regions over a fairly long period. Most of the works are based on either cross-sectional or fixed-effects estimates. We propose the estimation of convergence in per capita GDP across European regions by making use of panel-data models extended to include spatial error autocorrelation and spatially lagged dependent variable (Anselin,1988;Elhorst,2002). This will allow us to extend the traditional ÃŸ convergence model to include a rigorous treatment of the spatial correlation among the intercept terms. A spatial analysis of such intercept terms will also be performed in order to shed light on the concept spatially conditional convergence.
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- Valentina Meliciani & Franco Peracchi, 2006.
"Convergence in per-capita GDP across European regions: a reappraisal,"
Springer, vol. 31(3), pages 549-568, September.
- Valentina Meliciani & Franco Peracchi, 2004. "Convergence in Per-capita GDP Across European Regions: A Reappraisal," CEIS Research Paper 58, Tor Vergata University, CEIS.
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- Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June.
- Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170. Full references (including those not matched with items on IDEAS)
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