ESTIMATING A PREDICTION MODEL FOR THE EARLY IDENTIFICATION OF LOW EMPLOYABILITY GRADUATES IN MALAYSIA

Rosna Awang-Hashim, Hock Eam Lim (), Bidin Yatim, Tengku Faekah Tengku Ariffin, Ainol Madziah Zubairi, Haniza Yon and Omar Osman
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Rosna Awang-Hashim: School of Education and Modern Languages, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Hock Eam Lim: School of Economics, Finance and Banking, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Bidin Yatim: School of Quantitative Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Tengku Faekah Tengku Ariffin: School of Education and Modern Languages, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Ainol Madziah Zubairi: Kulliyyah of Education, International Islamic University Malaysia, Jalan Gombak 53100 Kuala Lumpur, Malaysia
Haniza Yon: Psychometrics Cluster, MIMOS Berhad, Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia
Omar Osman: School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia

The Singapore Economic Review (SER), 2015, vol. 60, issue 04, 1-22

Abstract: This paper describes the development of a prediction model for the early identification of low employability graduates in Malaysia. A total of five proportional hazard models are estimated and using the criteria of percentage correctly and wrongly predicted, a prediction model is selected based on the percentage correctly predicted. The percentile of the predicted hazard rate is used as the employability index (EI). In the context of Malaysia, it is recommended that the 5th percentile graduates be considered as low employability graduates. With this early identification tool, specific intervention programs can be tailored for the right target groups.

Keywords: Early identification; low employability graduate; proportional hazard model; out-of-sample prediction; I23; J64 (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S0217590815500277

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