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Convergence in Per-capita GDP across European Regions using Panel Data Models Extended to Spatial Autocorrelation Effects
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arbia, Giuseppe Piras, Gianfranco |
| Copyright Year | 2005 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| DOI | 10.2139/ssrn.936327 |
| Alternate Webpage(s) | https://www.econstor.eu/bitstream/10419/117202/1/ERSA2004_524.pdf |
| Alternate Webpage(s) | https://doi.org/10.2139/ssrn.936327 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
