The focus of this paper is on youth unemployment in Italy and Russia: in both countries, youth unemployment rates (YURs) are higher than adult (or total) ones. Despite these general trends, there are significant regional differences in YURs and above-average YUR regions tend to cluster close to each other. Moreover, a distinction between "North” and “South" regions seems appropriate for both countries. The purpose of this study is to identify some key determinants of YURs in the Russian and Italian regions, for the period 2000-2009. We consider some structural variables that affect the unemployment rate. We also search for the existence of distance spatial effects. In particular, we estimate a modified Arellano-Bond model for the regional YUR, including some explanatory and control variables (e.g. regional GDP in PPP, regional population density, regional total unemployment rate), together with year dummies and North/South dummies. The use of distance matrixes enables important analysis to be conducted on the role played by spatial effects, which turn out to be significant. Also the negative impact of the 2008-9 crisis is statistically confirmed (at least in the case of Italy). The relevant policy implications are highlighted in the conclusions.

Youth Labour Market Performances in the Russian and Italian Regions

MARELLI, Enrico Piero;
2014-01-01

Abstract

The focus of this paper is on youth unemployment in Italy and Russia: in both countries, youth unemployment rates (YURs) are higher than adult (or total) ones. Despite these general trends, there are significant regional differences in YURs and above-average YUR regions tend to cluster close to each other. Moreover, a distinction between "North” and “South" regions seems appropriate for both countries. The purpose of this study is to identify some key determinants of YURs in the Russian and Italian regions, for the period 2000-2009. We consider some structural variables that affect the unemployment rate. We also search for the existence of distance spatial effects. In particular, we estimate a modified Arellano-Bond model for the regional YUR, including some explanatory and control variables (e.g. regional GDP in PPP, regional population density, regional total unemployment rate), together with year dummies and North/South dummies. The use of distance matrixes enables important analysis to be conducted on the role played by spatial effects, which turn out to be significant. Also the negative impact of the 2008-9 crisis is statistically confirmed (at least in the case of Italy). The relevant policy implications are highlighted in the conclusions.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/380106
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