SHS Web Conf.
Volume 48, 2018ERPA International Congresses on Education 2018 (ERPA 2018)
|Number of page(s)||6|
|Published online||15 August 2018|
Determinants of unemployment in less developed countries
M.Phill Scholar, School of Management sciences , National college of business and e-Commerce, DHA Campus, Lahore, Pakistan
2 University Of Derby, United Kingdom
* Corresponding author: firstname.lastname@example.org
Unemployment is a major issue all over the world in both developed and under developed countries. This study analyzes those factors which determine unemployment in Pakistan. The data is taken from1990-2015 to see the empirical relationship between GDP, Population, Technical & Vocational education, degree colleges and universities enrollment. ARDL (Auto Regressive Distributed Lag) approach is used to check the determinants of unemployment in Pakistan. Long run results show that there is a negative relationship between GDP and unemployment. Population has positive and significant relation and technical & vocational education has positive and insignificant relation with unemployment in Pakistan. The results of Short run ECM-1(Error correction model) show that the negative and significant relationship with unemployment. The CUSUM and CUSUMQ (Graph) are represent that model is structurally stable within critical bound at 5% level of significance.
Key words: Unemployment (UNE) / Gross Domestic Product (GDP) / Population (POP) / Technical and Vocational Education (T&V) / Degree colleges enrollment 16 years of qualification (Degr coll) / Universities enrollment 16 years of qualification(UNI ENR)
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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