مجلة إقتصاد المال والأعمال
Volume 10, Numéro 2, Pages 955-974
2025-11-22
Authors : Hammal Farida .
This research paper aims to apply some econometric models and quantitative methods to analyze the relationship between unemployment and economic growth in Algeria in the period from 1984 to 2024; in an attempt to forecast unemployment rates. The Hodrick-Prescott filter technique was used to extract the data series of both the natural unemployment rate and the potential Gross Domestic Product. The study utilized the Autoregressive Distributed Lag (ARDL) and the LS with Breakpoints (BLS) method within the framework of the Okun model of unemployment. The empirical analysis revealed a fluctuating relationship between unemployment and economic growth, as the inverse relationship was observed in 2019 and 2021, but not in 2020 and 2022, which aligns logically with the actual economic conditions during those years. The predictive generated by the ARDL model conformed to economic theory, while those obtained from BLS model contradicted economic theory but were consistent with the Algerian economic reality.
unemployment rate ; economic growth rate ; forecasting ; ARDL ; LS with Breakpoints
بوسالم أحلام
.
عابد يوسف
.
ص 117-132.
Yahia Zeghoudi
.
pages 74-88.
Benayad Wafaa
.
Halimi Wahiba
.
pages 147-167.
تومي امينة
.
حدوش شروق
.
شيبي عبد الرحيم
.
ص 390-409.