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Estimating A Prediction Model For The Early Identification Of Low Employability Graduates In Malaysia

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rosna Awang-Hashim & Hock Eam Lim & Bidin Yatim & Tengku Faekah Tengku Ariffin & Ainol Madziah Zubairi & Haniza Yon & Omar Osman, 2015. "Estimating A Prediction Model For The Early Identification Of Low Employability Graduates In Malaysia," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(04), pages 1-22.
    • Handle: RePEc:wsi:serxxx:v:60:y:2015:i:04:n:s0217590815500277
    DOI: 10.1142/S0217590815500277
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    References listed on IDEAS

    as
    1. O'Connell, Philip J. & McGuinness, Seamus & Kelly, Elish, 2010. "A Statistical Profiling Model of Long-Term Unemployment Risk in Ireland," Papers WP345, Economic and Social Research Institute (ESRI).
    2. World Bank, 2007. "Malaysia and the Knowledge Economy : Building a World Class Higher Education System," World Bank Publications - Reports 7861, The World Bank Group.
    3. Clive Payne and Joan Payne, 2000. "early Identification of Long Term Unemployed," PSI Research Discussion Series 4, Policy Studies Institute, UK.
    4. Hock-Eam Lim, 2010. "Predicting Low Employability Graduates: The Case Of Universiti Utara Malaysia," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 55(03), pages 523-535.
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    More about this item

    Keywords

    Early identification; low employability graduate; proportional hazard model; out-of-sample prediction; I23; J64;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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