Konferenzbeitrag
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 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.
- Sprache
-
Englisch
- Erschienen in
-
Series: 44th Congress of the European Regional Science Association: "Regions and Fiscal Federalism", 25th - 29th August 2004, Porto, Portugal
Klassifikation
Wirtschaft
Ereignis
Geistige Schöpfung
(wer)
Arbia, Giuseppe
Piras, Gianfranco
Piras, Gianfranco
Ereignis
Veröffentlichung
(wer)
European Regional Science Association (ERSA)
(wo)
Louvain-la-Neuve
(wann)
2004
- Handle
- Letzte Aktualisierung
-
12.07.2024, 13:23 MESZ
Objekttyp
- Konferenzbeitrag
Beteiligte
- Arbia, Giuseppe
- Piras, Gianfranco
- European Regional Science Association (ERSA)
Entstanden
- 2004
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