Arbeitspapier

Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including different explanatory variables are tested to investigate the geographical distribution of unemployment in the 103 provinces of Italy for the years 1998 and 2003. The results suggest that there is a clear explanation of unemployment differentials in terms of spatial equilibrium and disequilibrium factors and a significant degree of spatial dependence among labour markets at the provincial level in Italy. Provinces marked by high unemployment, as well as those characterized by low unemployment, tend to be spatially clustered, demonstrating the presence of unemployment ‘persistency’ in space and time regimes.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 07-065/3

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Size and Spatial Distributions of Regional Economic Activity
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Thema
unemployment
spatial lag model
spatial autocorrelation
Italian provinces
Regionaler Arbeitsmarkt
Räumliche Verteilung
Italien

Ereignis
Geistige Schöpfung
(wer)
Cracolici, Maria Francesca
Cuffaro, Miranda
Nijkamp, Peter
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2007

Handle
Letzte Aktualisierung
20.09.2024, 08:23 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
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Objekttyp

  • Arbeitspapier

Beteiligte

  • Cracolici, Maria Francesca
  • Cuffaro, Miranda
  • Nijkamp, Peter
  • Tinbergen Institute

Entstanden

  • 2007

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