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Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation

Author

Listed:
  • Antosik, Liubov

    (Volgograd State University, Volgograd, Russian Federation)

  • Ivashina, Natalya

    (Far Eastern Federal University, Vladivostok, Russian Federation)

Abstract

This paper presents the results of modeling the migration processes of university graduates, with the influence of neighboring regions being taken into account. Significant factors of migration of graduates of Russian universities appear to be the higher incomes, GRP per capita and the unemployment rate in the destination region. Using tools of spatial econometrics it was proven that there is a positive spatial autocorrelation by the outflow and influx of graduates between neighboring regions.

Suggested Citation

  • Antosik, Liubov & Ivashina, Natalya, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.
  • Handle: RePEc:ris:apltrx:0368
    as

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    References listed on IDEAS

    as
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    3. Guriev, Sergei & Vakulenko, Elena, 2015. "Breaking out of poverty traps: Internal migration and interregional convergence in Russia," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 633-649.
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    7. Sergei Guriev & Elena Vakulenko, 2015. "Breaking Out of Poverty Traps," SciencePo Working papers Main hal-03392969, HAL.
    8. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
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    10. Daria Ciriaci, 2014. "Does University Quality Influence the Interregional Mobility of Students and Graduates? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1592-1608, October.
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    12. Tom Wilson, 2010. "Model migration schedules incorporating student migration peaks," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(8), pages 191-222.
    13. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kseniia A. Borzykh, 2022. "Влияние Характеристик Региональной Системы Высшего Образования На Послевузовскую Миграцию," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 9, pages 52-62, September.
    2. Moskvina, Victoria, 2019. "Modelling interregional mobility of university graduates in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 99-122.
    3. Антосик Л. В. & Ивашина Н. В., 2021. "Факторы И Направления Межрегиональной Миграции Выпускников Вузов В России," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 107-125.
    4. Kseniia A. Borzykh, 2022. "Impact of Higher Education Systems on Graduates’ Interregional Employment Mobility [Влияние Характеристик Региональной Системы Высшего Образования На Послевузовскую Миграцию]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 9, pages 52-62, September.

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    More about this item

    Keywords

    migration; graduates of universities; modify gravity model; spatial effects; Russian regions;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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