| Issue |
SHS Web Conf.
Volume 48, 2018
ERPA International Congresses on Education 2018 (ERPA 2018)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/shsconf/20184801015 | |
| Published online | 15 August 2018 | |
Determinants of unemployment in less developed countries
1
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: asmariaz316@gmail.com
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.