• Korean Journal of Social Welfare
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• v.56 no.3
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• pp.159-181
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• 2004

This study examines the realities and causes of youth and new college graduate unemployment, and seeks some assignments for mitigating youth and new college graduate unemployment. An analysis of the realities and causes of youth and new college graduate unemployment is summarized as follows. First, youth unemployment rate, which rapidly increased after the IMF economic crisis, slowly decreased after 2000, but was still somewhat higher in 2002 than that before the IMF. Second, new college graduate unemployment rate, which rapidly increased after the IMF economic crisis, slowly decreased after 2000 and became a similar level to that before the IMF economic crisis, but the number of the unemployed new college graduates highly increased after the IMF. Third, an analysis of the causes of youth unemployment shows that economic growth and the employment elasticity of economic growth negatively affect the unemployment rate, and the rate of entrance into colleges positively affects the unemployment rate. Fourth, an analysis of the causes of new college graduate unemployment demonstrates that economic growth and the employment elasticity of economic growth negatively affect the unemployment rate, and the increase rate of new college graduates, the college graduate/youth population ratio, and the time trend positively affect the unemployment rate. These results suggest several implications for mitigating the unemployment rate of the youth and new college graduates. First, in order to increase labor demand, emphasis must be placed on preparing economic conditions which can raise economic growth rate and on fostering industries and occupations which have high employment elasticity. Second, in the aspect of labor supply, it is necessary to adjust the number of new college graduates corresponding to labor demands in industries. Third, in order to redress the mismatch between the demand and the supply of the youth labor market, attention should be paid to remedying educational systems such as the activation of vocational education and training in middle and high schools and the reformation of college education to match the education and training provided in colleges and the skills requirements of the world of work, and preparing a unified program to support the youth unemployed systematically and synthetically.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.959-975
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• 2012

Each year research institutions such as the Korea Employment Information Service(KEIS), a government institution established for the advancement of employment support services, and Job Korea, a popular Korean job website, announce first job waiting times after college graduation. This provides useful information understand and resolve youth unemployment problems. However, previous reports deal with the time as a completely observed one and are not appropriate. This paper proposes a new study on first job waiting times after college graduation set to 4 months prior to graduation. In Korea, most college students hunt for jobs before college graduation in addition, the full-fledged job markets also open before graduation. In this case the exact waiting time of college graduates can be right-censored. We apply a Cox proportional hazards model to evaluate the associations between first job waiting times and risk factors. A real example is based on the 2008 Graduates Occupational Mobility Survey(GOMS).

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.241-246
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• 2023

The purpose of this study was to suggest the direction of university employment support through analysis of employment success factors for young college graduates and comparison of determining factors in metropolitan and non-metropolitan areas. For this purpose, the factors were analyzed using SPSS 25.0 statistical package binary logistic regression analysis using the 2019 'College Graduate Occupational Movement Path Survey' data provided by the Korea Employment Information Service. As a result of the study, among the personal characteristics of college graduates in Seoul and the metropolitan area, age, parental assets, and language training experience were (+) factors for employment success, and in terms of college characteristics, 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates or education college graduates. In addition, among the personal characteristics of college graduates from non-metropolitan areas, age and parental assets were (+) factors in employment success, and 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1603-1608
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• 2012

This paper aims to build a model of unemployment duration, in which each type of unemployment duration can be defined as a function of other exogenous variables. Recently, the so-called mismatch in the labor market has become a big issue in most countries. It is very obvious that 'mismatch' is deeply related to the long duration of unemployment status. Two problems may be head and tail of the same coin. Employing a simple analysis of Markov stochastic process, the model of unemployment duration developed here is useful for seeing the effects of shocks on unemployment duration. The model allows us to distinguish the determinants of different kinds of unemployment and to identify the nature of unemployment duration.

• The Journal of Information Systems
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• v.29 no.2
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.113-124
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• 2024

One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.

• Journal of Labour Economics
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• v.32 no.1
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• pp.31-56
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• 2009

This paper analyzes the determinants of the employment status of the NURI-project-teams' college and university graduates in Busan area. The major results are as follows: First, education level, household income, grade point average and certificate turn out to be significant variables to decide employment or spell of unemployment. Second, parents' education level, household income, the size of project team, the firm size are shown to affect employment in Busan. In particular, the bigger the firm is, the probability of getting job in Busan is getting smaller. And there are two sides of provincial university graduates' moving into the Metropolitan area; the voluntary move and the involuntary move. Third, sex., education level, major, grade point average, the size of project team etc, are found to be significant determinants of wage level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3510-3516
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• 2011

Due to the economic recession and corporation's growth without more jobs, college graduates unemployment issue has been emerged as a serious social problem. Since the employment rate of each college became an important factor of college evaluation by the government, each college is trying to increase the employment rate of students. Therefore universities are supporting student employment through various policies and programs. However there have been perception differences in intention of employment supporting activities, final results, preparedness, student satisfaction level and overall effectiveness level of program between students and university career center staff members. The perception differences may lead not only to the waste of budget but also ineffectiveness of various programs to promote student employment. Therefore this research proposed new revised efficient employment supporting programs of universities and desirable attitude of students to increase the effectiveness of student employment based on the analysis of perception level on the several issues such as degree of usefulness of program and satisfaction level of students.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.155-165
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• 2017

This study was conducted to explore differences of major selection regret and reasons by major selection motivation, and differences of college life, employment goal, first job satisfaction among groups by major selection motivation and regret of college graduates. For this study, '2013 Year Graduates Occupational Mobility Survey' of KEIS was examined by cross-tabulation analysis and one-way analysis of variance. The results were as follows: First, in the case of major selection by intrinsic motivation, less regrets were given than extrinsic motivation. Second, the biggest reason of regret was 'difficulty of unemployment' in case of intrinsic motivation and 'not fit in aptitude' in case of extrinsic motivation. Third, there were differences of college life, employment goal, first job satisfaction among four groups by major selection motivation and regret.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.387-398
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• 2010

Recently SMEs(small and medium enterprises) in Korea have experienced severe labor shortages. In particular, college graduates avoiding SMEs are widely spotted. According to previous studies, the main causes of the evasion by college graduates are the inferior working environment and low wages. Some studies also state that SME workers experience discrimination. However, most studies have focused only on unemployment issues of the young graduates. In this research, the results of follow-up surveys on the employment status and job conditions of recent college graduates was linked as a panel data, and the performance of the graduates was analyzed. Based on the analysis, we found college graduates who are employed SMEs are likely to have their initial career fixed to the SMEs. Second, the job separation records of the young SME workers does not show positive labor market performances such as upward movements or wage increases, and the process itself turned out to be entailed frequent separation. Third, the inferior wage level at SMEs and the fact that this effect is cumulatively amplified has been a key factor for evading SMEs. Thus, it is difficult to say that the early-stage careers in SMEs are constructive in future career development. On the contrary, the early careers at SMEs result in lower labor market outcomes, and frequent job separation.