IDEAS home Printed from https://ideas.repec.org/p/rnp/wpaper/021809.html

International Migration in Russia: A Qualified Component
[Международная Миграция В России: Квалифицированная Составляющая]

Author

Listed:
  • Florinskaya, Yulia (Флоринская, Юлия)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Mkrtchyan, Nikita (Мкртчян, Никита)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

Based on all available data of state statistics and surveys, the level of education of long-term and temporary labor international migrants in Russia is analyzed and compared with the level of education of the country's population. The composition of long-term international migrants by education varies according to age, as well as from countries with which migration is carried out. The level of education of long-term migrants is quite close to the population of Russia, but in general the country lost more educated migrants than acquired. The distribution of international migrants by education depends on a change in the methodology for recording migration, which makes comparisons over a long period difficult. Regarding temporary labor migration, the statistical sources used are not so detailed, and cover not the entire population of migrants in Russia. However, the data from sample surveys make possible to conclude that the educational potential of migrants is used, and to analyze specially selected categories of highly skilled migrants.

Suggested Citation

  • Florinskaya, Yulia (Флоринская, Юлия) & Mkrtchyan, Nikita (Мкртчян, Никита), 2018. "International Migration in Russia: A Qualified Component [Международная Миграция В России: Квалифицированная Составляющая]," Working Papers 021809, Russian Presidential Academy of National Economy and Public Administration.
    • Handle: RePEc:rnp:wpaper:021809
    as

    Download full text from publisher

    File URL: ftp://w82.ranepa.ru/rnp/wpaper/021809.PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Banerjee, Abhijit & Jackson, Matthew O. & Duflo, Esther & Chandrasekhar, Arun G., 2012. "The Diffusion of Microfinance," CEPR Discussion Papers 8770, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    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. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    2. Ariel BenYishay & A. Mushfiq Mobarak, 2014. "Social Learning and Communication," NBER Working Papers 20139, National Bureau of Economic Research, Inc.
    3. Lahno, Amrei M. & Serra-Garcia, Marta, 2012. "Peer Effects in Risk Taking," Discussion Papers in Economics 14309, University of Munich, Department of Economics.
    4. Nicola Lacetera & Mario Macis & Angelo Mele, 2012. "Viral altruism? A natural field experiment of social contagion in on-line networks," Working Papers 12-16, NET Institute.
    5. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    6. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2016. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," American Economic Review, American Economic Association, vol. 106(7), pages 1663-1704, July.
    7. Cátia Batista & Marcel Fafchamps & Pedro C. Vicente, 2018. "Keep It Simple: A Field Experiment on Information Sharing in Social Networks," NBER Working Papers 24908, National Bureau of Economic Research, Inc.
    8. Tsusaka, Takuji W. & Kajisa, Kei & Pede, Valerien O. & Aoyagi, Keitaro, 2015. "Neighborhood effects and social behavior: The case of irrigated and rainfed farmers in Bohol, the Philippines," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 227-246.
    9. El-Khatib, Rwan & Fogel, Kathy & Jandik, Tomas, 2015. "CEO network centrality and merger performance," Journal of Financial Economics, Elsevier, vol. 116(2), pages 349-382.
    10. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    11. Perkins, Jessica M. & Subramanian, S.V. & Christakis, Nicholas A., 2015. "Social networks and health: A systematic review of sociocentric network studies in low- and middle-income countries," Social Science & Medicine, Elsevier, vol. 125(C), pages 60-78.
    12. Javier Mejia, 2018. "Social Networks and Entrepreneurship. Evidence from a Historical Episode of Industrialization," Documentos CEDE 16380, Universidad de los Andes, Facultad de Economía, CEDE.
    13. Jaimovich, Dany, 2015. "Missing Links, Missing Markets: Evidence of the Transformation Process in the Economic Networks of Gambian Villages," World Development, Elsevier, vol. 66(C), pages 645-664.
    14. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "The complexity of transitions," Working Papers 13-04, Eindhoven Center for Innovation Studies, revised Mar 2013.
    15. Rusinowska, Agnieszka & Taalaibekova, Akylai, 2019. "Opinion formation and targeting when persuaders have extreme and centrist opinions," Journal of Mathematical Economics, Elsevier, vol. 84(C), pages 9-27.
    16. Cesi Cruz & Julien Labonne & Pablo Querubín, 2017. "Politician Family Networks and Electoral Outcomes: Evidence from the Philippines," American Economic Review, American Economic Association, vol. 107(10), pages 3006-3037, October.
    17. Neilson, William & Wichmann, Bruno, 2014. "Social networks and non-market valuations," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 155-170.
    18. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
    19. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    20. Pietro Battiston & Luca Stanca, 2014. "Boundedly Rational Opinion Dynamics in Directed Social Networks: Theory and Experimental Evidence," Working Papers 267, University of Milano-Bicocca, Department of Economics, revised Jan 2014.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rnp:wpaper:021809. 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.html .

    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.