Decoding Joblessness in Pakistan: A Generational and Temporal Analysis
Henna Ahsan and
Amena Urooj
Additional contact information
Henna Ahsan: Pakistan Institute of Development Economics
Amena Urooj: Pakistan Institute of Development Economics
No 2026:6, PIDE-Working Papers from Pakistan Institute of Development Economics
Abstract:
Unemployment has been acknowledged as one of the most important socioeconomic problems faced by developing nations, especially Pakistan. It is a sign of underlying structural imbalance in the economy, in addition to reflecting the labour market inefficiencies. It is argued that due to the higher education expansion in Pakistan during the last two decades and due to high youth bulge in the country, the young cohort entering the labour market are experiencing high unemployment. So, to understand and analyse this complex phenomenon, the Age-Period-Cohort (APC) model provides a nuanced approach in understanding unemployment rates simultaneously with other control variables. For analysis, data was acquired from the labour Force Survey (LFS) 2001-02 to 2024-25 covering twelve alternative waves. The results indicate that higher education, with increase in skills and productivity, helps individuals to escape from unemployment. However, cohort analysis shows vulnerability of young, educated cohorts to unemployment as compared to the older cohorts. This effect is more pronounced in tertiary education.
Pages: 31
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://file.pide.org.pk/pdfpideresearch/wp-26-06- ... emporal-analysis.pdf First Version, 2026 (application/pdf)
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:pid:wpaper:2026:6
Access Statistics for this paper
More papers in PIDE-Working Papers from Pakistan Institute of Development Economics Contact information at EDIRC.
Bibliographic data for series maintained by Khurram Iqbal ().