IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0368.html
   My bibliography  Save this article

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

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2019_54_070-089.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beine, Michel & Noël, Romain & Ragot, Lionel, 2014. "Determinants of the international mobility of students," Economics of Education Review, Elsevier, vol. 41(C), pages 40-54.
    2. Andrei Rogers & Frans Willekens & James Raymer & Jani Little, 2002. "articles: Describing migration spatial structure," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(1), pages 29-48.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Subrata Ghatak & Alan Mulhern & John Watson, 2008. "Inter‐Regional Migration in Transition Economies: The Case of Poland," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 209-222, February.
    9. Ivan Etzo, 2011. "The Determinants Of The Recent Interregional Migration Flows In Italy: A Panel Data Analysis," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 948-966, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ilya Kashnitsky & Nikita Mkrtchyan & Oleg Leshukov, 2016. "Interregional Migration of Youths in Russia: A Comprehensive Analysis of Demographic Statistics," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 169-203.
    2. Sardadvar, Sascha & Vakulenko, Elena, 2020. "Estimating and interpreting internal migration flows in Russia by accounting for network effects," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    3. E. S. Vakulenko, 2016. "Econometric analysis of factors of internal migration in Russia," Regional Research of Russia, Springer, vol. 6(4), pages 344-356, October.
    4. Vakulenko, Elena, 2019. "Motives for internal migration in Russia: what has changed in recent years?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 113-138.
    5. Gabriel Lyrio de Oliveira & André Luis Squarize Chagas, 2020. "Effects of a cash transfer programme on origin–destination migration flows," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 83-104, February.
    6. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    7. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    8. Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
    9. Justyna Wilk, 2015. "Using symbolic data in gravity model of population migration to reduce modifiable areal unit problem (MAUP)," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 243-264, June.
    10. S. Bacci & B. Bertaccini, 2021. "Assessment of the University Reputation Through the Analysis of the Student Mobility," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 363-388, August.
    11. Justyna Wilk, 2015. "Using Symbolic Data In Gravity Model Of Population Migration To Reduce Modifiable Areal Unit Problem (Maup)," Statistics in Transition New Series, Polish Statistical Association, vol. 16(2), pages 243-264, June.
    12. Pamela Smith & Xiangwen Kong, 2022. "Intellectual property rights and trade: The exceptional case of GMOs," The World Economy, Wiley Blackwell, vol. 45(3), pages 763-811, March.
    13. Arandarenko, Mihail & Corrente, Salvatore & Jandrić, Maja & Stamenković, Mladen, 2020. "Multiple criteria decision aiding as a prediction tool for migration potential of regions," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1154-1166.
    14. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    15. Ilaria De Angelis & Vincenzo Mariani & Roberto Torrini, 2017. "New Evidence on Interregional Mobility of Students in Tertiary Education: The Case of Italy," Politica economica, Società editrice il Mulino, issue 1, pages 73-96.
    16. Libman, Alexander & Herrmann-Pillath, Carsten & Yadav, Gaurav, 2013. "Are human rights and economic well-being substitutes? The evidence from migration patterns across the Indian states," European Journal of Political Economy, Elsevier, vol. 31(C), pages 139-164.
    17. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
    18. Peter Egger & Michael Pfaffermayr, 2016. "A generalized spatial error components model for gravity equations," Empirical Economics, Springer, vol. 50(1), pages 177-195, February.
    19. Giuseppe Ricciardo Lamonica, 2018. "An analysis of methods for the treatment of autocorrelation in spatial interaction models," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(2), pages 2-9, April-Jun.
    20. James Paul LeSage & Manfred M. Fischer, 2020. "Cross-sectional dependence model specifications in a static trade panel data setting," Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0368. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.