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Migration in Russian cities: Econometric analysis

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  • Vakulenko, Elena

    (National Research University Higher School of Economics)

Abstract

In this paper we conduct an econometric analysis of migration at the level of Russian cities as a function of socio-economic indicators. We use panel data of migration rates of the towns in Central Russia and Siberia from 2004 to 2008. Our results suggest completely different models for these districts. The key factors which determine migration flows are labor market indicators. In contrast with Central Russia, where higher wages attract migrants, in Siberia there is an outflow of population from cities with higher wages.

Suggested Citation

  • Vakulenko, Elena, 2012. "Migration in Russian cities: Econometric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 25(1), pages 25-50.
    • Handle: RePEc:ris:apltrx:0162
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    References listed on IDEAS

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    3. Vakulenko, Elena & Mkrtchyan , Nikita & Furmanov, Kirill, 2011. "Modeling registered migration flows between regions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 35-55.
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    11. Napolitano, Oreste & Bonasia, Mariangela, 2010. "Determinants of different internal migration trends: the Italian experience," MPRA Paper 21734, University Library of Munich, Germany.
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    Cited by:

    1. L. B. Karachurina, 2020. "Attractiveness of Centers and Secondary Cities of Regions for Internal Migrants in Russia," Regional Research of Russia, Springer, vol. 10(3), pages 352-359, July.
    2. L. E. Limonov & M. V. Nesena, 2016. "Structural and economic typology of large Russian cities," Regional Research of Russia, Springer, vol. 6(2), pages 144-155, April.
    3. Elena Oleinik & Alyona Zakharova, 2019. "City: economic growth and social attractiveness issues," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 454-470, September.

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    More about this item

    Keywords

    migration; Russian cities; Central Russia; Siberia; panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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