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 in the field 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 (Anselin, 1988; Elhorst, 2003). This will allow us to extend the traditional betaconvergence 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 of spatially conditional convergence.
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- 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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- Badi Baltagi & Dong Li, 2006.
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Spatial Economic Analysis,
Taylor & Francis Journals, vol. 1(2), pages 175-185.
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