LABOUR MARKET EXPECTATION AND DEMAND FOR HIGHER EDUCATION IN OSUN STATE, NIGERIA

Authors

KEHINDE AJIKE OLABIYI
DEPARTMENT OF ECONOMICS, FACULTY OF SOCIAL SCIENCES, OBAFEMI AWOLOWO UNIVERSITY, ILE-IFE, OSUN STATE

Keywords:

Labour market, unemployment, supply and demand, higher, education, labour supply, job searching, Osun State, Nigeria

Synopsis

The study examined the changing labour market expectations at different educational levels and analyzed how the expectations had informed decision for higher education in Osun State. This was with a view to providing insight into the intensity of demand for higher education.
The data for the study were obtained from primary and secondary sources. The primary data were generated from a survey of a purposefully sampled final year students of Senior Secondary Schools; final year students of tertiary institutions; currently serving National Youth Service Corps members and postgraduate students. These were drawn from selected six survey areas in Osun State, namely Ile-Ife, Osogbo, Ilesha, Ire, Ede and Esa-Oke. One private and one public secondary school were selected from the survey areas and forty students were randomly sampled from each of the schools. A total of 1430 students were randomly sampled from the five selected tertiary institutions in the survey areas. The five tertiary institutions were: Obafemi Awolowo University, Ile-Ife; Osun State College of Education, Ilesha; Osun State College of Education, Esa-Oke; Federal Polytechnic, Ede; and Osun State Polytechnic, Ire. Twenty-five National Youth Service Corps members from each of the survey areas who were about entering the labour market were contacted during their weekly Community Development Programme for the survey. Also, 165 Post graduate students were randomly selected across all the faculties of learning in Obafemi Awolowo University for the study. A total of 2,225 respondents were sampled in the study. The secondary data were collected from the publications of Federal Office of Statistics and National University Commission (NUC) Statistical Digest. The data were analyzed using descriptive and econometric technique.

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References

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Published

January 18, 2007

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