• KDI Journal of Economic Policy
• /
• v.38 no.1
• /
• pp.71-91
• /
• 2016

This paper examines the effect of the government college loan program in Korea on student academic performance, dropout decisions and loan defaults. While fairness in educational opportunities has been guaranteed to some degree through this program, which started in 2009, there has been a great deal of controversy over its effectiveness. Empirical findings suggest that recipients of general student loan (GSL) lower academic performance than those who received income contingent loan (ICL). Moreover, for students attending private universities, a higher number of loans received increased the probability of a dropout decision, and students from middle-income households had a higher probability of being overdue than students from low-income households. These findings indicate that expanding the ICL program within the allowance of the government budget is necessary. Furthermore, providing opportunities for students to find various jobs and introducing a rating system for defaulters are two necessary tasks.

• Journal of Labour Economics
• /
• v.40 no.2
• /
• pp.69-87
• /
• 2017

This paper examined the impact of student loan on job search duration, explicitly considering the type of student loan. The data was collected from Korean Education & Employment Panel (KEEP) study released by KRIVET. The survival analysis shows the following two patterns. First, the students who used the student loan with guarantee tended to have longer job search duration of job search. Second, the students with the income contingent loan tended to have shorter job search duration to end up with lower wage.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.6
• /
• pp.1417-1426
• /
• 2015

We develop the high risk group predictive model for loan default by utilizing the direct loan data from 2012 to 2014 of the Korea Student Aid Foundation. We perform the decision tree analysis using the data mining methodology and use SAS Enterprise Miner 13.2. As a result of this model, subject types were classified into 25 types. This study shows that the major influencing factors for the loan default are household income, national grant, age, overdue record, level of schooling, field of study, monthly repayment. The high risk group predictive model in this study will be the basis for segmented management service for preventing loan default.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.229-238
• /
• 2019

Before the scholarship loan system was implemented at the Korea Scholarship Foundation, the government's role was strengthened by the direct lending of student funds to banks and other financial institutions. However, the low repayment performance of student loans has raised concerns over the future of student loans and the government's financial burden. Moreover, since student loans are repaid even after graduating from college to support low-income families, it is highly unlikely that the repayment rate of student loans will improve unless the employment rate and income level of the borrower improve. In this paper, the final visualization graph is presented of the repayment amount of the student loan through the collection, storage, processing and analysis phase in the Big Data-based system. This could be the basis for visually checking the amount of student loans to come up with various ways to reduce the burden on the current student loan system.

• The Journal of Information Systems
• /
• v.5
• /
• pp.205-248
• /
• 1996

Historically, the en-users' acceptance of the expert systems(ES) have generally been used as a proxy for the ES' implementation success by both practitioners and academicians. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension. In order to overcome this skepticism, more research should focus on the behavioral aspects relate to systems acquisition and usage. This research applied Vroom's(1964) expectancy theory in an effort to predict end-users' motivation to use an ES in a bank loan decision context. Because human behaviors and judgements are nonlinear rather than linear functions, accurately predicting human behavior is very difficult. To increase the prediction power for end-users' motivation to use an ES in a bank loan decision context, this research used an artificial neural network (ANN) model. In this research, an attempt was made to evaluate adequacy of the surrogates by analyzing differences between real bank loan officers and student surrogates in applying expectancy theory to estimate bank loan officers' motivation to use ES in a bank loan decision context.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.5
• /
• pp.1293-1305
• /
• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• Journal of the Korea Convergence Society
• /
• v.10 no.4
• /
• pp.183-188
• /
• 2019

This study analyzes whether Income Contingent Loan achieves the policy goal of reducing the burden on higher education expenses with the emphasis on the repayment structure of the loan system and suggest ways to improve the incumbent policy. The study found that the voluntary repayment amount of the loan is much higher than the mandatory repayment amount. Therefore, various policy improvement measures are needed to activate the original purpose of the loan. We proposes improvements to the repayment, such as diversification of the repayment base rate, introduction of the loan integration, and analysis of loan default probability. In addition, this study has policy and academic implications in that it has suggested policy improvement measures by analyzing various overseas cases.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.23-26
• /
• 2013

Social networking services that connect a person to other people are attracting people's attention and various types of services are provided on the Internet. Library has been playing a role of social media by providing us with materials such as books and magazines, and with a place for reading, studying, getting lectures, etc. In this paper, we present a method for finding candidates of groups of the library's patrons who share interest areas by utilizing the loan records, which are obtainable in every library. Such a homogeneous group can become a candidate for a study group, a community for exchange ideas, and other activity group. We apply the method to a collection of loan records of a university library, find some problems to be solved, and propose measures for more detailed solutions. Even though the potential group finding problem still remains a lot of issues to be solved, its potential importance is very high and thus to be studies even more for future applications.

• International Journal of Internet, Broadcasting and Communication
• /
• v.6 no.1
• /
• pp.5-8
• /
• 2014

Social networking services that connect a person to other people are attracting our attention and various types of on-the-network services are provided. Library has been playing a role of social media by providing with materials such as books and magazines, and with a place for reading, studying, getting lectures, etc. In this paper, we present a method for finding candidates of groups of the library's patrons who share interest areas by utilizing the loan records, which are obtainable by every library. Such a homogeneous group can become a candidate for a study group, a community for exchange ideas, and other activity group. We apply the method to a collection of loan records of a university library, find some problem to be solved, and propose measures for more detailed solutions. Even though the potential group finding problem still remains a lot of problems to be solved, its potential importance is very high and thus to be studies even more for future applications.

• Journal of the Korea Convergence Society
• /
• v.9 no.12
• /
• pp.259-264
• /
• 2018

This study analyzes whether the national scholarship system achieves the policy goal to provide the half-tuition and suggests ways to improve the policy. The study finds that the national scholarship system provides free education for students from under 2nd decile income and the half-tuition for students from under 6th decile. However, since students don't feel fully the effect of the policy, this study proposes policy improvements on new approaches to public communications. Also is suggested the necessity to change the policy tool from debt-like to equity-like investment.