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The scarring effects of youth joblessness in Sri Lanka

Author

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  • Murali Kuchibhotla
  • Peter F. Orazem
  • Sanjana Ravi

Abstract

Retrospective data on labor market spells for successive cohorts of youth in the school‐to‐work transition in Sri Lanka are used to examine whether early spells of joblessness lead to subsequent difficulty in finding or keeping a job. A balancing score approach is used to generate pairs of youth in the school‐to‐work transition who have similar expected levels of joblessness but who differ in realized levels of joblessness. Assuming that youth are not able to perfectly control whether they are employed or not employed, we argue that marginal differences in joblessness among otherwise observationally equivalent youth can be viewed similarly to a regression discontinuity in experienced joblessness. We find evidence of scarring in that spending the first year after leaving school without a job or training increases subsequent share of time spent jobless by 23–31 percentage points and lowers subsequent wages by 5.5%–7.5%.

Suggested Citation

  • Murali Kuchibhotla & Peter F. Orazem & Sanjana Ravi, 2020. "The scarring effects of youth joblessness in Sri Lanka," Review of Development Economics, Wiley Blackwell, vol. 24(1), pages 269-287, February.
    • Handle: RePEc:bla:rdevec:v:24:y:2020:i:1:p:269-287
    DOI: 10.1111/rode.12639
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    Cited by:

    1. Mattia Filomena, 2024. "Unemployment Scarring Effects: An Overview and Meta-analysis of Empirical Studies," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 459-518, July.
    2. Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2022. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 101-125, April.
    3. Berniell, Inés & Gasparini, Leonardo & Marchionni, Mariana & Viollaz, Mariana, 2023. "Lucky women in unlucky cohorts," Journal of Development Economics, Elsevier, vol. 161(C).

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