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Youth labour market performances in the Russian and Italian regions

Author

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  • Demidova, Olga
  • Marelli, Enrico
  • Signorelli, Marcello

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 key determinants of YURs in the Russian and Italian regions, for the period 2000–2009. 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 2008–2009 crisis is statistically confirmed (at least in the case of Italy). The relevant policy implications are highlighted in the conclusions.

Suggested Citation

  • Demidova, Olga & Marelli, Enrico & Signorelli, Marcello, 2015. "Youth labour market performances in the Russian and Italian regions," Economic Systems, Elsevier, vol. 39(1), pages 43-58.
    • Handle: RePEc:eee:ecosys:v:39:y:2015:i:1:p:43-58
    DOI: 10.1016/j.ecosys.2014.06.003
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Liotti, Giorgio, 2020. "Labour market flexibility, economic crisis and youth unemployment in Italy," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 150-162.
    2. Enrico Marelli & Elena Vakulenko, 2016. "Youth unemployment in Italy and Russia: Aggregate trends and individual determinants," The Economic and Labour Relations Review, , vol. 27(3), pages 387-405, September.
    3. Jeremy W Bray & Brooks Depro & Dorren McMahon & Marion Siegle & Lee Mobley, 2016. "Disconnected Geography: A Spatial Analysis of Disconnected Youth in the United States," Journal of Labor Research, Springer, vol. 37(3), pages 317-342, September.
    4. Enrico MARELLI & Elena VAKULENKO, 2014. "Youth Unemployment in Italy and Russia: Aggregate Trends and the Role of Individual Determinants," Working papers of the Department of Economics - University of Perugia (IT) 0001/2014, Università di Perugia, Dipartimento Economia.
    5. Steve Bradley & Giuseppe Migali & Maria Navarro Paniagua, 2019. "Spatial variations and clustering in the rates of youth unemployment and NEET," Working Papers 262342718, Lancaster University Management School, Economics Department.
    6. Sitkevich, Daniil A. (Ситкевич, Даниил), 2020. "Industrial Policy in Underdeveloped Regions: Lessons from Mezzogiorno [Индустриальная Политика В Экономически Отсталых Регионах: Уроки Меццоджорно]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 136-159, February.
    7. Olga Demidova & Pierluigi Daddi & Ekaterina Medvedeva & Marcello Signorelli, 2018. "Modeling the Employment Rate in Russia: a Spatial-Econometric Approach," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1383-1398.

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    More about this item

    Keywords

    Youth unemployment; Russian and Italian regions; Spatial correlation;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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