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

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Pfaffermayr, Michael
  • University of Innsbruck, Department of Public Finance

Entstanden

  • 2009

Ähnliche Objekte (12)