Employment trends and economic factors in MENA region: An ARDL approach

This study investigates the relationship between macroeconomic variables and employment in the MENA region, focusing on the dynamics of economic growth, trade openness, investment, and services sector development. The aim is to provide insights into both the short- and long-term factors affecting labor force participation rates in the region. The research employs the Autoregressive Distributed Lag (ARDL) model to analyze time-series data, capturing the interplay between key macroeconomic variables. The model is chosen for its flexibility in handling variables of different integration orders. The results reveal significant relationships between the explanatory variables and employment in the MENA region. Economic growth, investment, and trade openness exhibit varying impacts in the short and long run, while the services sector emerges as a critical driver of employment. The bounds test confirms the existence of a long-run relationship, and the error correction model indicates strong adjustments towards equilibrium. This research contributes to the existing literature by employing the ARDL approach to explore employment dynamics in the MENA region, providing both theoretical and empirical insights. The findings offer valuable policy recommendations for enhancing employment outcomes in the region through targeted macroeconomic strategies.

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Publication Details

Journal
International Journal of Innovative Research and Scientific Studies
Published
2025-04-17
DOI
https://doi.org/10.53894/ijirss.v8i2.6306
Citations
8
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
25.05
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article

Employment trends and economic factors in MENA region: An ARDL approach

Ihsen Abid
8 citations
International Journal of Innovative Research and Scientific Studies
Fiscal Policy and Economic Growth
25.05
article

Employment trends and economic factors in MENA region: An ARDL approach

Ihsen Abid
article en
8 citations

Abstract

This study investigates the relationship between macroeconomic variables and employment in the MENA region, focusing on the dynamics of economic growth, trade openness, investment, and services sector development. The aim is to provide insights into both the short- and long-term factors affecting labor force participation rates in the region. The research employs the Autoregressive Distributed Lag (ARDL) model to analyze time-series data, capturing the interplay between key macroeconomic variables. The model is chosen for its flexibility in handling variables of different integration orders. The results reveal significant relationships between the explanatory variables and employment in the MENA region. Economic growth, investment, and trade openness exhibit varying impacts in the short and long run, while the services sector emerges as a critical driver of employment. The bounds test confirms the existence of a long-run relationship, and the error correction model indicates strong adjustments towards equilibrium. This research contributes to the existing literature by employing the ARDL approach to explore employment dynamics in the MENA region, providing both theoretical and empirical insights. The findings offer valuable policy recommendations for enhancing employment outcomes in the region through targeted macroeconomic strategies.

International Journal of Innovative Research and Scientific StudiesVol. 8(2)
Imam Mohammad ibn Saud Islamic University (SA)
Openalex Percentile: Top 1%
Fiscal Policy and Economic Growth
25.05
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