MACROECONOMIC DETERMINANTS OF UNEMPLOYMENT IN PAKISTAN: SOME POLICY IMPLICATIONS

Unemployment poses a significant threat to Pakistan's economy alongside other global countries. The current study tries to determine the substantial determinants affecting unemployment in the country. Data was retrieved from the worldwide development indicator (WDI) and worldwide governance indicators (WGI) by employing Time series analysis from 1996 to 2021. Augmented Dicky Fuller and Philips-Perron Unit root test were employed to check the stationary of the data. To figure out the short-run and long-run cointegration among variables, the model Autoregressive distributed lag (ARDL) was applied. Findings indicate that all variables were statistically significant. Inflation, FDI and GDP are negatively affecting unemployment. While population growth, external debt and governance index have a positive association with unemployment. Growing population and external debt are substantial contributors to unemployment, while governance reveals inadequate effectiveness in addressing this challenge. Study recommended to improve FDI and GDP growth in Pakistan to reduce unemployment. Furthermore, govt stability and effective policies are necessary to overcome the problem of unemployment.

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Journal
Journal of Social Sciences and Humanities
Published
2024-12-31
DOI
https://doi.org/10.46568/jssh.v63i2.767
Primary Topic
Unemployment and Economic Growth
Type
article
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article

MACROECONOMIC DETERMINANTS OF UNEMPLOYMENT IN PAKISTAN: SOME POLICY IMPLICATIONS

Shahbaz Ali Khan, Sadia Mahwish, Asif Javed
Journal of Social Sciences and Humanities
Unemployment and Economic Growth
article

MACROECONOMIC DETERMINANTS OF UNEMPLOYMENT IN PAKISTAN: SOME POLICY IMPLICATIONS

Shahbaz Ali Khan, Sadia Mahwish, Asif Javed
article en

Abstract

Unemployment poses a significant threat to Pakistan's economy alongside other global countries. The current study tries to determine the substantial determinants affecting unemployment in the country. Data was retrieved from the worldwide development indicator (WDI) and worldwide governance indicators (WGI) by employing Time series analysis from 1996 to 2021. Augmented Dicky Fuller and Philips-Perron Unit root test were employed to check the stationary of the data. To figure out the short-run and long-run cointegration among variables, the model Autoregressive distributed lag (ARDL) was applied. Findings indicate that all variables were statistically significant. Inflation, FDI and GDP are negatively affecting unemployment. While population growth, external debt and governance index have a positive association with unemployment. Growing population and external debt are substantial contributors to unemployment, while governance reveals inadequate effectiveness in addressing this challenge. Study recommended to improve FDI and GDP growth in Pakistan to reduce unemployment. Furthermore, govt stability and effective policies are necessary to overcome the problem of unemployment.

Journal of Social Sciences and HumanitiesVol. 63(2)
Islamia University of Bahawalpur (PK), Government Sadiq College Women University (PK), University of Chieti-Pescara (IT)
Openalex Percentile: Top 65%
Unemployment and Economic Growth
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MACROECONOMIC DETERMINANTS OF UNEMPLOYMENT IN PAKISTAN: SOME POLICY IMPLICATIONS — Shahbaz Ali Khan, Sadia Mahwish, et al. · Journal of Social Sciences and Humanities (2024) | TGRS Research Map | TGRS