• International Commerce and Information Review
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• v.11 no.3
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• pp.391-408
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• 2009

This study first designates the factors affecting Foreign Direct Investment (FDI) in order to analyze the FDI in Korea, and calculates the Korean FDI index by using various designated variables and by applying Factor Analysis Technique. In addition, it attempts to understand the influence wielded by the foreign investment variables of foreign multinationals on FDI in Korea, by setting to analyze & verify Environmental Factors and the overall model based on FDI in Korea. Through an emprical analysis of USA, Japan, EU, China, as our hypothesis, we could verify that the positive effects(+) among the decisive factors of FDI in Korea include the market size, the mean earning rate of domestic manufacturing industries, and the marketing capacities of foreign corporations, while the negative effects(-) include the ratio of taxation on domestic manufacturing industries. Other FDI factors have various effects on each, so some factors show the same effects as the hypothesis while others show separate effects. In addition, the only nation for which the effects of FDI factors in Korea coincide with the hypothesis completely is the USA, while other nations (such as Japan, EU, China) have some effects that conform to the hypothesis, but other effects do not accord with it.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7018-7024
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• 2014

This study examined the squared returns and absolute returns of KOSPI 200 with GPH (Geweke and Porter-Hudak, 1983) estimators. GPH was estimated by the long-term memory preserving time series parameter d in linear regression. This called the GPH estimator, which depends on a bandwidth m. m was decided by confirming the stable section of the point estimate by validating the track of the GPH estimator according to the value of m. The result suggests that by satisfying 0< d <0.5, the squared returns and absolute returns of KOPI 200 retains long-term memory.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1263-1268
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• 2021

This study investigates how dramatic increase of university and college graduates affects labor market outcomes. Using a series of seven repeated cross sections of the Vietnam Household Living Standards Surveys, this paper analyzed the changes in the rate of returns to higher education attainment along with the increased supply of university and college graduates due to the higher education expansion throughout the 2002-2014 period. The study utilized a ratio of number of university and college students to the number of upper-secondary pupils within each province as an instrumental variable to calculate the effects of higher education expansion on the labor wage. The study found that, with the basic equations, the coefficients for higher education attainment are statistically significant and have positive values for the whole period. Our instrumental variables were found to be valid. For instrumental variable estimation, the return to higher education in IV earning equations was quite high. The findings of this study suggested that the expansion of the higher education system in Vietnam during 2002-2014 had positive effects on wages for those who increased their education attainment due to the reforms and there was a declining trend of the returns to higher education toward the end of the period.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.285-291
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• 2022

The number of people enrolling in universities is rising due to the simplicity of applying and the benefit of earning a bachelor's degree. However, the on-time graduation rate has declined since plenty of students fail to complete their courses and take longer to get their diplomas. Even though there are various reasons leading to the aforementioned problem, it is crucial to emphasize the cause originating from the management and care of learners. In fact, understanding students' difficult situations and offering timely Number of Test data and advice would help prevent college dropouts or graduate delays. In this study, we present a machine learning-based method for early detection at-risk students, using data obtained from graduates of the Faculty of Information Technology, Dainam University, Vietnam. We experiment with several fundamental machine learning methods before implementing the parameter optimization techniques. In comparison to the other strategies, Random Forest and Grid Search (RF&GS) and Random Forest and Random Search (RF&RS) provided more accurate predictions for identifying at-risk students.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.119-129
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• 2007

In January 2005, the BTL private investment project was introduced in the Korean construction market as part of the plan to provide high-quality public service and expand the required facilities in a timely manner. Nonetheless, problems such as the low earning rate at the beginning of the business, burden of service compared to the cost of the proposed business, and limitations of the local small and medium-sized companies in relation to their participation in the project arose. The LCC analysis system for the BTL projects was developed as part of efforts toward efficiently investigating the investment eligibility. Specifically, methods for LCC analysis were selected for each stage of the BTL project in relation to the requests of experts for military residential facilities and public educational facilities. Variables were then extracted to derive an accurate analysis value, LCC for the 5 cost items (initial investment cost, operating expenses, maintenance expenses, energy cost, and disposal cost), analyzed, and system enabling comparative analysis for single and multiple initiatives by year and item, developed. Thus, we have to clearly require the accumulation of data to examine the appropriateness of the results of LCC analysis based on data and results.

• KDI Journal of Economic Policy
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• v.12 no.4
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• pp.113-126
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• 1990

With the introduction of the national pension, efficient integration of Korea's four public pension schemes has been discussed. The main point of such discussions is whether to have a progressive scheme or an income-proportional one. Under the assumption of a perfect labor market, it has been proved in the income tax literature that the regressive tax scheme with the 0 % tax rate to the most able person (person earning highest income) is pareto efficient, if there is an incentive problem in the labor supply. In this paper, a life-cycle model with a linear benefit schedule, when there is uncertainty about future earning ability, is studied. It is proved that the second best pension scheme is that having a progressive benefit schedule. This result implies that integration into a progressive pension scheme, like the current national pension, is required not only for efficiency but also for equity.

• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.523-533
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• 2011

Most nancial preference methods for market risk management are to estimate VaR. In many real cases, it happens to obtain the VaRs of the univariate as well as multivariate distributions based on multivariate data. Copula functions are used to explore the dependence of non-normal random variables and generate the corresponding multivariate distribution functions in this work. We estimate Archimedian Copula functions including Clayton Copula, Gumbel Copula, Frank Copula that are tted to the multivariate earning rate distribution, and then obtain their VaRs. With these Copula functions, we estimate the VaRs of both a certain integrated industry and individual industries. The parameters of three kinds of Copula functions are estimated for an illustrated stock data of two Korean industries to obtain the VaR of the bivariate distribution and those of the corresponding univariate distributions. These VaRs are compared with those obtained from other methods to discuss the accuracy of the estimations.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.137-142
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• 2021

Distance learning universities provide online course content. The main methods of providing class contents are on-demand and live-streaming. This means that students are not restricted by time or space. The advantage is that students can take the course anytime and anywhere. Therefore, unlike commuting students, there is no commuting time to the campus, and there is no natural process required to take classes. However, despite this convenient situation, the attendance rate and graduation rate of distance learning universities tend to be lower than that of commuting universities. Although the course environment is not the only factor, students cannot obtain a bachelor's degree unless they fulfill the graduation requirements. In both commuter and distance learning universities, taking classes is an important factor in earning credits. There are fewer time and space constraints for distance learning students than for commuting students. It is also easy for distance learning students to take classes at their own timing. There should be more ease of learning than for students who commute to school with restrictions. However, it is easier to take a course at a commuter university that conducts face-to-face classes. I thought that the reason for this was that commuting to school was a part of the process of taking classes for commuting students. Commuting to school was thought to increase the willingness and motivation to take classes. Therefore, I thought that the inconvenient constraints might encourage students to take the course. In this research, I focused on the act of commuting to school by students. These situations are also applied to the distance learning environment. The students have physical time constraints. To achieve this goal, I will implement a course restriction method that aims to promote the willingness and attitude of students. Therefore, in this paper, I have implemented a virtual school system called "virtual go to school (VG2S)" that reflects the actual route to school.

• Journal of Labour Economics
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• v.28 no.3
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• pp.141-166
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• 2005

The purpose of this study is to evaluate the status of youth overeducation and to analyze the impact on the wage system, before and after the financial crisis. In this study, we adapt the following method; first, we investigate the year 1996 (before financial crisis) and year 2000 (after financial crisis) data from "the Survey Report on the Wage structure", based on the data from "the Occupational Dictionary" by occupation group. So we could evaluate the difference between the youth over-educational status, before and after financial crisis. Second, we analyze the reason why the difference occurs, with financial crisis dummy variable and other variables such as sex, occupation, industry. Third, we try to find the difference between the impact of the overeducation on the wage rate, before and after financial crisis. The main findings are as follows; first, the degree of overeducation in year 2000 is more than in year 1996. So the financial crisis plays the important role in deepening the degree of overeducation. Second, the wage rate of the overeducated worker is higher than that of the required-educated worker. Also, the both wage rates are increased after financial crisis. However, the difference of both wage rates' has declined over the financial crisis. Such a finding means that even though the both wage rates of the overeducated and the required-educated worker are increased, the wage rate of the required-educated worker has increased much more than that of overeducated worker, after the financial crisis.

• Korean Journal of Social Welfare
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• v.61 no.3
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• pp.307-328
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• 2009

This study aims to investigate the patterns and causes of the marital duration. Data used for this study are ten waves of Korean Labor and Income Panel Study(KLIPS) in 1998~2007, in which the final sample consists of 2,397 households. The Life-table method is used for describing the overall patterns of marital duration by birth-cohorts and different education groups, and the Cox proportional hazard regression model is used to identify significant factors on the marital duration. The results show that among the all respondents, the 0.79% has divorced or separated within five years after marriage, 2.12% within 10 years, and 5.84% within 20 years, respectively. In addition, the Cox regression results show that the marital duration is significantly affected by the birth-cohorts of respondents and their spouses, education level, earning of spouses, co-residence with parents, and household income. This implies that the hazard rate of marital disruption is higher for younger cohorts, individuals with lower education and economic status, persons living with parents-in-law, compared to their counterparts. Thus, it is necessary to implement social welfare policies applicable for these persons.