Developing a Risk Group Predictive Model for Korean Students Falling into Bad Debt

AuthorJun‐Tae Han,Myeon‐Jung Kim,Jae‐Seok Choi,Jina Jeong
Date01 March 2018
DOIhttp://doi.org/10.1111/asej.12139
Published date01 March 2018
Developing a Risk Group Predictive Model for
Korean Students Falling into Bad Debt*
Jun-Tae Han, Jae-Seok Choi, Myeon-Jung Kim
and Jina Jeong
Received 3 December 2015; Accepted 27 December 2017
Using direct loan data for 2012 to 2014 from the Korea Student Aid Foundation,
we develop a risk group predictive model for borrowers defaulting on their loans.
We used a logistic regression model and the Cox proportional hazards model to
develop the risk predictive model. We veried the validity of the models using a
receiver operating characteristic curve and a validation dataset. The present study
shows that area under the receiver operating characteristic curves is similar for the
models and that the major inuencing factors for defaulting on their loans are
household income, whether a national grant was received, age, whether more than
two accounts are overdue, eld of study and the monthly repayment amount. The
risk group predictive model in this study will be the basis for more efcient man-
agement of direct student loans.
Keywords: Cox proportional hazards model, direct student loan, logistic
regression model.
JEL classication codes: I20, I22, I23.
doi: 10.1111/asej.12139
I. Introduction
The Korea Student Aid Foundation (KOSAF) student loan program is designed
to support Korean students studying in Korean institutions. KOSAFs student
loan program is divided into three main categories: income contingent loans
(ICL), direct loans and loans for rural students.
Income contingent loans are for students from low-income families that may
be used for tuition and qualifying education-related costs. ICL are not subject to
credit approval. The income contingent repayment system gives students the
exibility of choosing repayment options that best suit their personal circum-
stances. Direct loans are for students from families of any income level that may
be applied towards tuition and qualifying education-related costs. Borrowers
*Han: Department of Student Aid Policy Research, Korea Student Aid Foundation, 125 Sinam-ro,
Dong-gu, Daegu 41200, Korea. Choi (corresponding author): Department of Student Loan Repay-
ment, Korea Student Aid Foundation, 125 Sinam-ro, Dong-gu, Daegu 41200, Korea.
Email: jasonchoi75@gmail.com. Kim: Department of Student Loan Management, Korea Student Aid
Foundation, 125 Sinam-ro, Dong-gu, Daegu 41200, Korea. Jeong: Department of Student Aid Policy
Research, Korea Student Aid Foundation, 125 Sinam-ro, Dong-gu, Daegu 41200, Korea.
© 2018 East Asian Economic Association and John Wiley & Sons Australia, Ltd
Asian Economic Journal 2018, Vol.32 No.1, 314 3

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