This paper analyzes the conditional β-convergence hypothesis for NUTS 3 Italian provinces. A methodology for the simultaneous treatment of spatial depen- dence and spatial heterogeneity is developed. Spatial dependence is introduced in the economic model by assuming a spatial Durbin model specification. The absence of data experienced by some economic variables at the NUTS 3 level is addressed through a modified version of the Bayesian interpolation method introduced by Palma and Benedetti (J Geogr Syst 5:199–220, 1998). Spatial heterogeneity is taken into account by identifying convergence clubs. For this purpose, we use the modified sim- ulated annealing algorithm introduced by Postiglione et al. (Comput Econ 42:151–174, 2013). The methodology is compared with the heteroscedastic approach proposed by Kelejian and Prucha (J Econom 157:53–67, 2010).

Economic growth in Italian NUTS 3 provinces

POSTIGLIONE, PAOLO
2014-01-01

Abstract

This paper analyzes the conditional β-convergence hypothesis for NUTS 3 Italian provinces. A methodology for the simultaneous treatment of spatial depen- dence and spatial heterogeneity is developed. Spatial dependence is introduced in the economic model by assuming a spatial Durbin model specification. The absence of data experienced by some economic variables at the NUTS 3 level is addressed through a modified version of the Bayesian interpolation method introduced by Palma and Benedetti (J Geogr Syst 5:199–220, 1998). Spatial heterogeneity is taken into account by identifying convergence clubs. For this purpose, we use the modified sim- ulated annealing algorithm introduced by Postiglione et al. (Comput Econ 42:151–174, 2013). The methodology is compared with the heteroscedastic approach proposed by Kelejian and Prucha (J Econom 157:53–67, 2010).
File in questo prodotto:
File Dimensione Formato  
-Panzera, Postiglione - ARS (2014).pdf

Solo gestori archivio

Tipologia: PDF editoriale
Dimensione 641.79 kB
Formato Adobe PDF
641.79 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/570702
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 21
social impact