Estimating a prediction model for the early identification of low employability graduates in Malaysia

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 o...

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Bibliographic Details
Main Authors: Awang-Hashim, Rosna, Lim, Hock Eam, Yatim, Bidin, Tengku Ariffin, Tengku Faekah, Zubairi, Ainol Madziah, Yon, Haniza, Osman , Omar
Format: Article
Language:English
Published: World Scientific Publishing Company 2015
Subjects:
Online Access:http://irep.iium.edu.my/45641/
http://irep.iium.edu.my/45641/
http://irep.iium.edu.my/45641/1/TheSingaporeEconomicReview2015.pdf
Description
Summary: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.