IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/477.html
   My bibliography  Save this paper

Resilience Strategies for Mismatched Workers: Microeconomic Evidence from Egypt

Author

Listed:
  • Syed Zwick, Hélène

Abstract

Purpose – The purpose of this paper is to identify and discuss the on-the-job resilience strategies of mismatched workers. We empirically focus on Egyptian workers.Design/Methodology/Approach – This study relies on a primary micro-data collection based on design and implementation of a self-administered questionnaire survey and on the conduction of a series of semi-structured interviews. Findings – The results are fourfold: first, the combination of over-qualification and under-skilling is the most frequent in our sample; second, resilience strategies adopted by over-skilled workers mainly depend on mobility and entry to entrepreneurship; third, under-skilled workers do not enter entrepreneurship, but tend to rely on informal on-the-job learning and training opportunities. Fourth, religion and spirituality play a transversal role to cope with adversity for all of our interviewed workers. Originality/value – This study is unique as it draws our attention on factors of resilience for mismatched workers in a developing country, Egypt.

Suggested Citation

  • Syed Zwick, Hélène, 2020. "Resilience Strategies for Mismatched Workers: Microeconomic Evidence from Egypt," GLO Discussion Paper Series 477, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:477
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/214171/1/GLO-DP-0477.pdf
    Download Restriction: no

    More about this item

    Keywords

    resilience strategies; skill mismatches; qualification mismatches; Egypt;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:zbw:glodps:477. 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: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: http://edirc.repec.org/data/glaboea.html .

    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.