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Key drivers of NEET phenomenon among youth people in Senegal

Author

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  • François Joseph Cabral

    (LINC/University Cheikh Anta Diop and CRES)

Abstract

The purpose of this paper is to assess the phenomen of young people who are not in education, employment, or training (NEET), by identifying the key factors that drive the probability to belong to this category and explore targeting measures. In fact, due to the low rates of youth unemployment and the precariousness of their status in the labor market over the past years, an increasing interest for the analysis of this category of young people is growing in Senegal. A binomial model, based on the Poverty Monitoring Survey in Senegal (ESPS 2) is used to identify the key determinants of NEET status. The results show that the about 4 out of 10 young people belong to NEET group. The key factors which significantly affect the probability of a young person to belong to this group are: existence of a physical and mental disability, age and gender of the young person, gender and education status of the head of household, occupational and matrimonial status of the head of household, and household income. Howerver depending on the area of residence and gender sataus, determinants of the phenomenon can be different. As a result, it is important to introduce targeting mechanisms and some policies so as to reduce the ratio of NEET among the youth population.

Suggested Citation

  • François Joseph Cabral, 2018. "Key drivers of NEET phenomenon among youth people in Senegal," Economics Bulletin, AccessEcon, vol. 38(1), pages 248-261.
    • Handle: RePEc:ebl:ecbull:eb-17-00621
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    References listed on IDEAS

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    1. Glenda Quintini & Sébastien Martin, 2006. "Starting Well or Losing their Way?: The Position of Youth in the Labour Market in OECD Countries," OECD Social, Employment and Migration Working Papers 39, OECD Publishing.
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    Cited by:

    1. Federica Alfani & Fabio Clementi & Michele Fabiani & Vasco Molini & Enzo Valentini, 2023. "Once NEET, always NEET? A synthetic panel approach to analyze the Moroccan labor market," Review of Development Economics, Wiley Blackwell, vol. 27(4), pages 2401-2437, November.

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    More about this item

    Keywords

    social protection; NEET; binomial model;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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