What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach

Purpose – This paper examines factors that determine the unemployment rate in the Maldives. Methods – This paper uses an Autoregressive Distributed Lag (ARDL) model in capturing long and short-run associations among the chosen variables. It uses some macroeconomic variables, namely unemployment...

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Main Authors: Irushad, Ali, Mohd Thas Thaker, Mohamed Asmy, Mohd Thas Thaker, Hassanudin
Format: Article
Language:English
Published: Center for Economic Studies, Universitas Islam Indonesia 2023
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Online Access:http://irep.iium.edu.my/104551/2/104551_What%20drives%20the%20unemployment%20rate%20in%20Maldives.pdf
http://irep.iium.edu.my/104551/
https://journal.uii.ac.id/JEP/article/view/27104/15060
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spelling my.iium.irep.1045512023-05-29T03:58:37Z http://irep.iium.edu.my/104551/ What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach Irushad, Ali Mohd Thas Thaker, Mohamed Asmy Mohd Thas Thaker, Hassanudin H Social Sciences (General) Purpose – This paper examines factors that determine the unemployment rate in the Maldives. Methods – This paper uses an Autoregressive Distributed Lag (ARDL) model in capturing long and short-run associations among the chosen variables. It uses some macroeconomic variables, namely unemployment rate, population, economic growth, foreign direct investment, external debts, inflation rate, and expatriate workers. Findings – The empirical results suggest that except for expatriate workers, all the variables are significant determinants of unemployment rate in the long run. The study found that economic growth and inflation would negatively and significantly contribute to unemployment rate when they are combined. This explains the unemployment nexus which follows the Phillips curve and Okun’s law relationship provides the presence of both these hypotheses in the Maldives in the short-run and long-run. In addition, an increase in population and external debts worsens the unemployment situation in the Maldives. Although expatriate workers are not significant in the long run, the results reveal that they have a significant positive effect on unemployment in the short run. Implications – This result implies that the Maldivian government should encourage locals in the country to participate in the labor force and limit the participation of expatriate workers in an industry that has a shortage of skilled expertise. Originality – This study expands our understanding of key determinants of the unemployment rate in Maldives. To the best of the authors’ knowledge, this research is among the pioneer empirical study to assess the issue. Center for Economic Studies, Universitas Islam Indonesia 2023-04-29 Article PeerReviewed application/pdf en http://irep.iium.edu.my/104551/2/104551_What%20drives%20the%20unemployment%20rate%20in%20Maldives.pdf Irushad, Ali and Mohd Thas Thaker, Mohamed Asmy and Mohd Thas Thaker, Hassanudin (2023) What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach. Economic Journal of Emerging Markets, 15 (1). pp. 72-86. ISSN 2086-3128 E-ISSN 2502-180X https://journal.uii.ac.id/JEP/article/view/27104/15060
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Irushad, Ali
Mohd Thas Thaker, Mohamed Asmy
Mohd Thas Thaker, Hassanudin
What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
description Purpose – This paper examines factors that determine the unemployment rate in the Maldives. Methods – This paper uses an Autoregressive Distributed Lag (ARDL) model in capturing long and short-run associations among the chosen variables. It uses some macroeconomic variables, namely unemployment rate, population, economic growth, foreign direct investment, external debts, inflation rate, and expatriate workers. Findings – The empirical results suggest that except for expatriate workers, all the variables are significant determinants of unemployment rate in the long run. The study found that economic growth and inflation would negatively and significantly contribute to unemployment rate when they are combined. This explains the unemployment nexus which follows the Phillips curve and Okun’s law relationship provides the presence of both these hypotheses in the Maldives in the short-run and long-run. In addition, an increase in population and external debts worsens the unemployment situation in the Maldives. Although expatriate workers are not significant in the long run, the results reveal that they have a significant positive effect on unemployment in the short run. Implications – This result implies that the Maldivian government should encourage locals in the country to participate in the labor force and limit the participation of expatriate workers in an industry that has a shortage of skilled expertise. Originality – This study expands our understanding of key determinants of the unemployment rate in Maldives. To the best of the authors’ knowledge, this research is among the pioneer empirical study to assess the issue.
format Article
author Irushad, Ali
Mohd Thas Thaker, Mohamed Asmy
Mohd Thas Thaker, Hassanudin
author_facet Irushad, Ali
Mohd Thas Thaker, Mohamed Asmy
Mohd Thas Thaker, Hassanudin
author_sort Irushad, Ali
title What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
title_short What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
title_full What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
title_fullStr What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
title_full_unstemmed What drives the unemployment rate in Maldives? An autoregressive distributed lag (ARDL) approach
title_sort what drives the unemployment rate in maldives? an autoregressive distributed lag (ardl) approach
publisher Center for Economic Studies, Universitas Islam Indonesia
publishDate 2023
url http://irep.iium.edu.my/104551/2/104551_What%20drives%20the%20unemployment%20rate%20in%20Maldives.pdf
http://irep.iium.edu.my/104551/
https://journal.uii.ac.id/JEP/article/view/27104/15060
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score 13.209306