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Spatial Effects on the Youth Unemployment Rate

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  • Olga Demidova
  • Enrico Marelli
  • Marcello Signorelli

Abstract

The purpose of this study is to identify the common and different determinants of youth unemployment in the eastern and western regions of Russia, and especially to determine whether there are spatial effects. Dynamic panel models were estimated using the Arellano-Bond method; these models included four boundary-weighted matrices and four types of explanatory variables: (1) variables characterizing the demographic situation in a region, (2) variables on the migration processes in a region, (3) variables characterizing the economic situation in a region, and (4) variables on the export-import activity of a region.

Suggested Citation

  • Olga Demidova & Enrico Marelli & Marcello Signorelli, 2013. "Spatial Effects on the Youth Unemployment Rate," Eastern European Economics, Taylor & Francis Journals, vol. 51(5), pages 94-124, September.
    • Handle: RePEc:mes:eaeuec:v:51:y:2013:i:5:p:94-124
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    Citations

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    Cited by:

    1. Vakulenko, Elena, 2015. "Analysis of the relationship between regional labour markets in Russia using Okun’s model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 40(4), pages 28-48.
    2. Демидова Ольга Анатольевна & Иванов Денис Сергеевич, 2016. "Модели Экономического Роста С Неоднородными Пространственными Эффектами (На Примере Российских Регионов)," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(1), pages 52-75.
    3. 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.
    4. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    5. 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.
    6. 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.
    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.
    8. Alexander Myasnikov, 2018. "Analysis of the Determinants of Total Factor Productivity in Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1168-1180.
    9. Marcello Signorelli, 2017. "Youth unemployment in transition economies," IZA World of Labor, Institute of Labor Economics (IZA), pages 401-401, November.
    10. Li Wang & Jixia Huang & Hongyan Cai & Hengzi Liu & Jinmei Lu & Linsheng Yang, 2019. "A Study of the Socioeconomic Factors Influencing Migration in Russia," Sustainability, MDPI, vol. 11(6), pages 1-14, March.

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