Using spatial econometric models, this paper focuses attention on the spatial structure of provincial unemployment disparities of Italian provinces for the year 2003. On the basis of findings from the economic literature and of the availablesocio-economic data, various model specifications including supply- and demandsidevariables are tested. Further we use ESDA analysis as equivalent to integrationanalysis on time series; therefore it is applied on each variable, dependent and independent,involved in the statistical model. The suggestions of ESDA lead us to themost adequate statistical model, which estimates indicate that there is a significantdegree of neighbouring effect (i.e. positive spatial correlation) among labour marketsat the provincial level in Italy; this effect is present notwithstanding we controlledfor local characteristics. The unemployment shows a polarized spatial pattern that isstrongly connected to labour demand and to a much lesser extent to the share of youngpopulation and economic structural composition.
|Numero di pagine||16|
|Rivista||STATISTICAL METHODS & APPLICATIONS|
|Stato di pubblicazione||Published - 2009|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty