IDEAS home Printed from https://ideas.repec.org/a/eme/ijmpps/ijm-12-2023-0744.html
   My bibliography  Save this article

Understanding NEET status in Cameroon and Chad: determinants and gender disparities

Author

Listed:
  • Christian Zamo Akono
  • Liliane Odette Medjo Obia

Abstract

Purpose - This study aims to examine the association between Not in Employment, Education, or Training (NEET) status and a set of individual and household socioeconomic factors, including potential gender-based variations, for young people aged 15–34 years in Cameroon and Chad. Design/methodology/approach - Using data from the 2021 Survey on Youths’ Transition to the Labour Market in Francophone Africa, logistic regressions were conducted to identify the determinants of NEET status, and the multivariate decomposition for nonlinear response models was employed to examine gender disparities in the likelihood of being NEET. Findings - In Cameroon, the likelihood of being NEET is linked to factors such as age, being female, being in a couple, having dependent children, financial difficulties and urban residency. In Chad, NEET status is associated with higher education, age, being female, being in a couple and having dependent children, but decreases with secondary education, technical education and balancing work and study. Gender disparities in NEET status are largely explained by individual characteristics, accounting for 56.16% of the disparity in Cameroon and 73.72% in Chad. The main contributors in Cameroon are higher education, marital status and having children, while in Chad they are secondary and technical education, studying STEM, age, marital status and having children. Originality/value - This paper makes two key contributions: first, it is the pioneering study on the determinants of entering the NEET category in sub-Saharan Africa, focusing on individual characteristics; second, it offers the first comprehensive decomposition of factors driving gender disparities in the likelihood of being NEET.

Suggested Citation

  • Christian Zamo Akono & Liliane Odette Medjo Obia, 2025. "Understanding NEET status in Cameroon and Chad: determinants and gender disparities," International Journal of Manpower, Emerald Group Publishing Limited, vol. 46(3), pages 492-511, January.
  • Handle: RePEc:eme:ijmpps:ijm-12-2023-0744
    DOI: 10.1108/IJM-12-2023-0744
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-12-2023-0744/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-12-2023-0744/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/IJM-12-2023-0744?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Young people; NEET; Logistic regression; Gender disparities; Multivariate decomposition for nonlinear response models; Cameroon; Chad; J15; J24;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:eme:ijmpps:ijm-12-2023-0744. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    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.