IDEAS home Printed from
   My bibliography  Save this article

The Pathways That Lead Youth in NEET: The Case of Russia


  • Anna Zudina

    (National Research University Higher School of Economics, Moscow, Russia)


Causes and consequences of the so-called NEET status (Not in Employment, Educationor Training) are one of the popular foreign areas of youth labour markets research. NEET youth are one of the most vulnerable categories of the non-employed. Representatives of this group are common recipients of social benefits from the state and depend on the money transfers from relatives. The probability of finding a permanent job for young people who previously were in the NEET status is reduced. They have higher risks of informal employment, problems with physical and mental health, propensity to criminal activities and substance abuse, low level of trust in social institutions. Despite the relevance of the study, youth transitions between school, employment and different types of NEET status (so-called NEET-unemployment and NEET-inactivity) are relatively rare analyzed on panel data. Present study introduces the flows of young people entering and leaving the NEET group in the Russian labour market as the focus of the research for the first time. This topic is particularly relevant for Russia since, according to Rosstat, the share of Russian NEET youth in 2010–2015 was 12–15% of all young people aged 15–24 years. The source of the data for the study is the Russia Longitudinal Monitoring Survey – Higher School of Economics (RLMS-HSE) for 2000–2016. The main findings of the study are based on the analysis of the transition matrices and the results of the estimations of dynamic multinomial logit regression models on the subsamples of men and women aged 15–24 years. According to the results received the share of NEET youth in Russia by 2016 was about 15% of all young people aged 15–24 years. At the same time, during the economic crisis, the growth in the share of NEET youth was mainly due to the increase of NEET-unemployment. The share of the latter in 2015–2016 reached the maximum values for the entire period analyzed (9–10% of all young people aged 15–24 years). Despite the heterogeneous nature of the Russian NEET, the risks of falling into this state are mainly associated with education – either with its insufficient level (in the case of inactive NEETs) or with its low quality (in the case of unemployed NEETs). Thus, higher education in Russia is associated with the greatest risks of NEET unemployment, while the risks of transition to the state of NEET-inactivity are concentrated among those who received vocational education after incomplete secondary school or after graduating from high school. Changes in the marital status are also among important factors of NEET state. However the probability of finding a job next year reaches 50% for unemployed NEETs, and about 30–40% for inactive NEETs. Thus, NEET status at the moment does not seem to be unequivocal hopeless «trap» for Russian youth.

Suggested Citation

  • Anna Zudina, 2018. "The Pathways That Lead Youth in NEET: The Case of Russia," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(2), pages 197-227.
  • Handle: RePEc:hig:ecohse:2018:2:2

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Zdenka Gyurák Babeľová & Augustín Stareček & Dagmar Cagáňová & Martin Fero & Miloš Čambál, 2019. "Perceived Serviceability of Outplacement Programs as a Part of Sustainable Human Resource Management," Sustainability, MDPI, Open Access Journal, vol. 11(17), pages 1-21, August.
    2. Santos Miguel Ruesga-Benito & Fernando González-Laxe & Xose Picatoste, 2018. "Sustainable Development, Poverty, and Risk of Exclusion for Young People in the European Union: The Case of NEETs," Sustainability, MDPI, Open Access Journal, vol. 10(12), pages 1-15, December.

    More about this item


    youth unemployment; youth labour market; Russia; NEET; out of labour force;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification


    Access and download statistics


    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:hig:ecohse:2018:2:2. 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: (Editorial board) or (Editorial board). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

    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.