Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects
AbstractThis 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.
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Bibliographic InfoPaper provided by European Regional Science Association in its series ERSA conference papers with number ersa04p524.
Date of creation: Aug 2004
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Other versions of this item:
- Giuseppe Arbia & Gianfranco Piras, 2005. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ISAE Working Papers 51, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-09 (All new papers)
- NEP-EEC-2005-11-09 (European Economics)
- NEP-EFF-2005-11-09 (Efficiency & Productivity)
- NEP-GEO-2005-11-09 (Economic Geography)
- NEP-MAC-2005-11-09 (Macroeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Holtz-Eakin, Douglas, 1994. "Public-Sector Capital and the Productivity Puzzle," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 12-21, February.
- Elhorst, J. Paul, 2001. "Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable," Research Report 01C05, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June.
- Elhorst, J.P., 2000. "Dynamic models in space and time," Research Report 00C16, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
- Badi H. Baltagi & Dong Li, 2006.
"Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor,"
Center for Policy Research Working Papers
84, Center for Policy Research, Maxwell School, Syracuse University.
- Badi Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 175-185.
- Giuseppe Arbia & Roberto Basile & Mirella Salvatore, 2002. "Regional Convergence in Italy 1951-199: A Spatial Econometric Perspective," ISAE Working Papers 29, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- 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.
- Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
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