Arbeitspapier
Spatial Convergence of Regions Revisited: A Spatial Maximum Likelihood Systems Approach
This paper suggests that one should account for the endogeneity of important explanatory variables and the persistence of technology shocks when analyzing spatial convergence among regions.Specifically, it is argued that a systems approach is called for that includes the average growth rate and the initial income level as the endogenous variables. For 212 European regions the estimation results reveal a substantial correlation between the disturbances of the equation explaining initial income per capita and that of its subsequent average growth rate. Moreover, the estimated speed of convergence is found substantially higher in a systems framework. This holds true for both spatial conditional and unconditional convergence.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Papers in Economics and Statistics ; No. 2009-07
- Klassifikation
-
Wirtschaft
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- Thema
-
Spatial beta-convergence
Spatial Solow model
Spatial systems maximum likelihood estimation
Europeanregions
Regionale Einkommensverteilung
Regionales Wachstum
Entwicklungskonvergenz
Technische Effizienz
Maximum-Likelihood-Methode
Schätzung
Europa
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Pfaffermayr, Michael
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Innsbruck, Department of Public Finance
- (wo)
-
Innsbruck
- (wann)
-
2009
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Pfaffermayr, Michael
- University of Innsbruck, Department of Public Finance
Entstanden
- 2009