La dinamica della disoccupazione europea: un'analisi spaziale
AbstractThis paper examines the spatial dynamics of European unemployment by applying non-parametric methods. The use of different levels of administrative data, the study of female and youth unemployment, and the analysis of regression trees are the main innovations with respect to the related work by Overman and Puga (2002). Stochastic kernels analysis confirms that the emerging feature of the dynamics of European unemployment rate is polarization. Moreover, regression trees show that unemployment growth rates are more similar across surrounding areas (particularly within the same Member State), than across regions with similar specialization or educational attainment. Our results suggest that polarization is primary demand-driven.
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Bibliographic InfoArticle provided by SIPI Spa in its journal Rivista di Politica Economica.
Volume (Year): 95 (2005)
Issue (Month): 4 (July-August)
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Find related papers by JEL classification:
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
- F15 - International Economics - - Trade - - - Economic Integration
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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