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Predicting Low Employability Graduates: The Case Of Universiti Utara Malaysia

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  • HOCK-EAM LIM

    ()
    (Faculty of Economics, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia; Department of Economics, Monash University, Clayton, Victoria 3800, Australia)

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    Abstract

    The persistence of the graduate unemployment problem warrants the need for predicting factors that are associated with low employability graduates. It is found that ethnicity, English language proficiency and types of degree obtained are significant predictors of graduates' employability which is measured either by the number of days being unemployed or probability of being unemployed. Compared to the Tobit model, the Probit model which does not accommodate the right censoring bias is found to have less predictive power in terms of the number of days being unemployed.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal The Singapore Economic Review.

    Volume (Year): 55 (2010)
    Issue (Month): 03 ()
    Pages: 523-535

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    Handle: RePEc:wsi:serxxx:v:55:y:2010:i:03:p:523-535

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    Related research

    Keywords: Statistical prediction model; early identification; graduate unemployment; J64; I29;

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