Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach
Arsen Tleppayev and
Saule Zeinolla ()
Additional contact information
Arsen Tleppayev: Faculty of Economics and Entrepreneurship, Kazakh-German University, Almaty 050010, Kazakhstan
Saule Zeinolla: Faculty of Economics and Entrepreneurship, Kazakh-German University, Almaty 050010, Kazakhstan
Forecasting, 2025, vol. 7, issue 3, 1-20
Abstract:
Youth unemployment remains a pressing issue in many emerging economies, where educational disparities and demographic pressures interact in complex ways. This study investigates the links between higher-education enrolment, demographic structure and youth unemployment in eight developing countries from 2009 to 2023. Panel cointegration techniques—Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS)—are applied to estimate the long-run effects of gross tertiary-school enrolment on youth unemployment while controlling for GDP growth and youth-cohort size. Robustness is confirmed through complementary estimations with pooled-mean-group ARDL and system-GMM panels, which deliver consistent coefficient signs and significance levels. Results show a significant negative elasticity between enrolment and youth unemployment, indicating that wider access to higher education helps lower joblessness among young people. Youth-population growth exerts an opposite, positive effect, while GDP growth reduces unemployment but less uniformly across regions. The evidence points to an integrated policy mix—expanding tertiary (especially vocational and technical) education, managing demographic pressure and maintaining macro-economic stability—to improve youth-employment outcomes in emerging economies.
Keywords: higher education enrollment; demographic factors; panel time-series models; FMOLS; DOLS; emerging economies; labor market outcomes; GDP growth; educational policy (search for similar items in EconPapers)
JEL-codes: A1 B4 C0 C1 C2 C3 C4 C5 C8 M0 Q2 Q3 Q4 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2571-9394/7/3/37/pdf (application/pdf)
https://www.mdpi.com/2571-9394/7/3/37/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jforec:v:7:y:2025:i:3:p:37-:d:1703239
Access Statistics for this article
Forecasting is currently edited by Ms. Joss Chen
More articles in Forecasting from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().