IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0011.html
   My bibliography  Save this article

Modeling registered migration flows between regions of the Russian Federation

Author

Listed:
  • Vakulenko, Elena

    (National Research University Higher School of Economics, Russia)

  • Mkrtchyan , Nikita

    (National Research University Higher School of Economics, Russia)

  • Furmanov, Kirill

    (National Research University Higher School of Economics, Russia)

Abstract

Using the Ross tat panel data for the 2001–2008 period we estimate the gravity model of migration between Russian regions. We show that though the migration flows have been quite stable, their determinants have changed substantially. Special attention is drawn to the role of distance between the regions. So far we have found out that social and economic factors are affecting migration between nearby regions. Yet our attempts to model the flows between distant (>500 km) places have lead to very poor goodness of fit.

Suggested Citation

  • 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.
  • Handle: RePEc:ris:apltrx:0011
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2011_1_35-55.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuri Andrienko & Sergei Guriev, 2004. "Determinants of interregional mobility in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(1), pages 1-27, March.
    2. Yuri Andrienko & Sergei Guriev, 2003. "Determinants of Interregional Mobility in Russia: Evidence from Panel Data," William Davidson Institute Working Papers Series 551, William Davidson Institute at the University of Michigan.
    3. James H. Stock & Mark W. Watson, 2008. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," Econometrica, Econometric Society, vol. 76(1), pages 155-174, January.
    4. Annette N. Brown, 1997. "The Economic Determinants of the Internal Migration Flows in Russia During Transition," William Davidson Institute Working Papers Series 89, William Davidson Institute at the University of Michigan.
    5. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. 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.
    2. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
    3. Yuriy Shmidt & Natalya Ivashina & Pavel Lobodin & Aleksey Kuhlevskiy, 2017. "Forecasting of Interregional Migration Flows," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 126-136.
    4. 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.
    5. Stepan Zemtsov & Vyacheslav Baburin, 2016. "Assessing the Potential of Economic-Geographical Position for Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 117-138.
    6. Sergei Guriev & Elena Vakulenko, 2012. "Convergence between Russian regions," Working Papers w0180, Center for Economic and Financial Research (CEFIR).
    7. V. A. Rusanovskiy & V. A. Markov, 2016. "Influence of the spatial factor on the regional differentiation of unemployment in the Russian economy," Studies on Russian Economic Development, Springer, vol. 27(5), pages 593-604, September.
    8. Vakulenko, Elena & Leukhin, Roman, 2015. "Investigation of demand for the foreign workforce in Russian regions using applications for quotas," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 67-86.
    9. 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.
    10. 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.
    11. Ilya Prakhov & Maria Bocharova, 2016. "Socio-Economic Predictors of Student Mobility," HSE Working papers WP BRP 34/EDU/2016, National Research University Higher School of Economics.
    12. Ostrovskaya, E. & Mamontov, D. & Spiridonov, K. & Levyy, I., 2021. "Analysis of interregional migration flows in Russia in the context of certain types of migration," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 36-55.

    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. Sascha Sardadvar & Elena Vakulenko, 2017. "A model of interregional migration under the presence of natural resources: theory and evidence from Russia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 535-569, September.
    2. Etzo, Ivan, 2010. "The determinants of the recent interregional migration flows in Italy: A panel data analysis," MPRA Paper 26245, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. E. Vakulenko & N. Mkrtchyan & K. Furmanov, 2011. "Econometric Analysis Of Internal Migration In Russia," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 7(2), pages 21-33.
    6. Aleksey Oshchepkov, 2007. "Are Interregional Wage Differentials in Russia Compensative?," Discussion Papers of DIW Berlin 750, DIW Berlin, German Institute for Economic Research.
    7. Berger, Mark C. & Blomquist, Glenn C. & Sabirianova Peter, Klara, 2008. "Compensating differentials in emerging labor and housing markets: Estimates of quality of life in Russian cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 25-55, January.
    8. Shilov, Andrey & Möller, Joachim, 2009. "The wage curve in Russia, 1995-2005," Economics Letters, Elsevier, vol. 102(2), pages 90-92, February.
    9. Yuriy Shmidt & Natalya Ivashina & Pavel Lobodin & Aleksey Kuhlevskiy, 2017. "Forecasting of Interregional Migration Flows," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 126-136.
    10. 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.
    11. Keigo Nishida, 2014. "Agricultural productivity differences and credit market imperfections," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(8), pages 1262-1276, December.
    12. Katja Mueller & Michael J. Bradshaw, 2006. "OPTIMIRUS. Simulating Population Change in the Russian Far East," European Journal of Population, Springer;European Association for Population Studies, vol. 22(2), pages 105-125, June.
    13. Michaelides, Panayotis & Milios, John, 2009. "TFP change, output gap and inflation in the Russian Federation (1994-2006)," Journal of Economics and Business, Elsevier, vol. 61(4), pages 339-352, July.
    14. Koen Jochmans, 2020. "Testing for correlation in error‐component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 860-878, November.
    15. Aaron Mehrotra & Jouko Rautava, 2008. "Do sentiment indicators help to assess and predict actual developments of the Chinese economy?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(3), pages 225-239.
    16. 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.
    17. Jerry A. Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," Staff Reports 824, Federal Reserve Bank of New York.
    18. Vakulenko, Elena (Вакуленко, Елена) & Leukhin, Roman (Леухин, Роман), 2016. "Whether the foreign workers are discriminated in the Russian labor market? [Дискриминируются Ли Иностранные Работники На Российском Рынке Труда?]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 121-142, February.
    19. Niklas Potrafke, 2012. "Political cycles and economic performance in OECD countries: empirical evidence from 1951–2006," Public Choice, Springer, vol. 150(1), pages 155-179, January.
    20. Christian Bjørnskov & Niklas Potrafke, 2012. "Political Ideology and Economic Freedom Across Canadian Provinces," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(2), pages 143-166.

    More about this item

    Keywords

    migration; gravity model; panel data; Russian regions;
    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

    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:0011. See general information about how to correct material in RePEc.

    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. RePEc uses bibliographic data supplied by the respective publishers.