Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects

Giuseppe Arbia () and Gianfranco Piras

ERSA conference papers from European Regional Science Association

Abstract: 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 ß 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.

Date: 2004-08
New Economics Papers: this item is included in nep-eec, nep-eff, nep-geo and nep-mac
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Citations: View citations in EconPapers (21)

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Related works:
Working Paper: Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa04p524

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