• Journal of Labour Economics
• /
• v.32 no.2
• /
• pp.95-124
• /
• 2009

In this article, I were trying to analyze the listed manufacturing companies' trend of productivity and the corporate education & training effect after the financial crisis. According to the analysis, the listed manufacturing companies have decreased their productivity since financial crisis, and from such declining trend. jobless growth and a growth without physical and human capital investment has been observed. Furthermore, there is no efficient labor force coordination within the manufacturing industry; In order to analyze the effect of education & training investment on productivity more deeply, I have practiced the dynamic panel data analysis from constructing the micro panel data which consists of company level information 1997~2008. According to the consequences, dynamic panel data analysis solved the problem of the overestimating education & training effect fairly well.

• Journal of Korea Port Economic Association
• /
• v.35 no.1
• /
• pp.57-76
• /
• 2019

This study deals with the determinants of employment productivity of transportation labor, who are the main agents of the transportation industry that has made significant contributions to our country's industrial development. The study selected the determinants of employment productivity using the Korea Labor and Income Panel Study data, and analyzed the effects of various factors using panel logistic regression, panel OLS model, and panel robust regression. The results were as follows. First, a more positive effect was shown when employees held a regular job, had a "high level of education", "joining the labor union" and "experiencing vocational training". Second, in the case of job security, having a "high level of education" and "joining the labor union" showed a more positive effect; further, job security was higher for employees who worked in a "big company" or were "married". Third, in the case of higher income productivity, higher values of "age", "academic ability" and "company size" had a more positive effect, whereas larger values of "education" and "health condition except job training" had a negative one. Fourth, in the case of job satisfaction, "female", "joining the labor union" and having a higher "income" or "job security" led to higher satisfaction and a better "health condition compared to an average person". Further, a higher "overall life satisfaction" and "economic level" led to lower job satisfaction. The analysis of the determinants of employment productivity of transportation business and seeking for improvement plan is expected to improve the employment productivity in the transportation business.

• The Journal of the Korea Contents Association
• /
• v.17 no.4
• /
• pp.83-94
• /
• 2017

This study aimed to provide important information on vocational education and employment policy for the disabled by analyzing the relationship between disabled wage workers' occupational ability and job quality. For this purpose, the relationship between job competence and employment quality was theoretically examined and empirically analyzed based on human capital theory, screening theory, and job competition theory. The empirical analysis used data on 975 disabled wage workers with the use of the data of the 8th Panel Survey of Employment for the Disabled(2015). As a result of the empirical study, it was found that the occupational ability of the disabled workers is an important factor in determining Wage, job status, job satisfaction, which constitute the quality of employment. This result indicates that job quality can be improved by ameliorating disabled people's occupational ability. Accordingly, this study proposed that there might be a need to extend customized education and educational facilities for improving disabled people's occupational ability.

• The Journal of the Korea Contents Association
• /
• v.14 no.5
• /
• pp.144-155
• /
• 2014

This study aims to overcome the limitations of prior studies that have failed to take into account the impact of psycho-social factors on the employment of people with disabilities as well as the differences in employment by life stage. This study employs a research model that includes psycho-social factors along with human capital to examine how the determinants of employment differ for the disabled by life stage. The analysis in this study takes the form of logistic regression, using data from the fifth wave of the Korea Welfare Panel Survey. Analysis results show that the employment probability of young people with disabilities is significantly associated with their experience of discrimination, with their chance of employment decreasing when they have more experience of discrimination. Middle-aged people with disabilities are more likely to be employed when they have a lower level of education, a better health condition and a higher level of labor ability. For the disabled elderly, their labor ability is the only factor affecting their possibility of employment; they have a higher chance of getting a job when they have a higher level of labor ability.

• Journal of Digital Convergence
• /
• v.15 no.12
• /
• pp.147-158
• /
• 2017

The purpose of this study is to investigate the determinants of the SNS usage time depending on SNS motive of the youth workers. Although previous studies revealed that there are many motivations for SNS usage, it is not known which factors determine usage time of each SNS motive. In this study, we constructed the unbalanced panel data of the Korean Education & Employment Panel data. Among three different SNS motives such as information exchange, social networking, and fun pursuit, gender, physical health, extraversion, and conscientiousness affected the usage of SNS when the motivation was information exchange. When it was personal connection, the size of organization, education, physical health, subjective happiness, job satisfaction, neuroticism, and agreeableness did. When it was fun & interest, foreign company, status of children, subjective happiness, and job satisfaction did. Based on the findings, we discussed theoretical and practical implications.

• 한국사회정책
• /
• v.23 no.1
• /
• pp.95-123
• /
• 2016

As Korean society grows rapidly older, a systematic analysis of the determinants of labor supply behavior among the elderly becomes a prerequisite for designing more effective senior employment policies and income security regime for the elderly. Literatures review shows that a majority of previous researches have been ignoring the problem of "endogenous predictor" especially when it comes to the estimation of the effects of the two key variables, education and non-labor income, on labor supply decisions among older people. They have failed to take into consideration the unobserved heterogeneities which might affect both labor supply decisions of the elderly and their levels of education and non-labor income, which means, according to some econometric literatures, that the estimated coefficients of the two predictors can be inconsistent. The paper tries to redress the endogeneity problem by employing a panel logit model with data from the 1st. to 4th. wave of the KLoSA(Korean Longitudinal Survey of Ageing) to estimate the effects of key predictors on the probability of getting jobs among older people(ages of 60 or older). Both a random effects and a fixed effects model reaffirms that non-labor income has a negative effect on the chances of being employed. And a random effects model shows that the effect of education is also negative, as has frequently been reported by previous studies. That means the effects of education and non-labor income on elderly employment remain negative after the effect of unobserved heterogeneities is controled for and the problem of endogenous predictors is redressed through an appropriate panel data analysis. These findings mean, in turn, that when Korean baby-boomers, who had acquired an unprecedentedly higher level of education and were expected to enjoy ever-larger amount of non-labor income than their preceding generations, retires in near future, their incentives to work will become much weaker and the lack of labor-force and the burden of financing increased public pension expenditure will become more troublesome. The paper concludes with recommending some policy initiatives helpful to solve these expected problems.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.251-259
• /
• 2018

This study was conducted to investigate individuals' mental health on the basis of scores for depression and self-esteem from the Korea Welfare Panel Study (KWPS) and determine their dynamic association with employment status. This study was conducted using the eighth (2013) and ninth (2014) data from the KWPS. To identify factors affecting depression, socio-demographic factors, factors related to mental health, and contents related to employment, such as changes in the employment condition and employment status, were selected and analyzed by t-test, ANOVA, and hierarchial multiple regression to determine the explanatory power. Multiple regression revealed that in Model 1, those who were female, were older, had no spouse, were in the lower income bracket, had lower total self-esteem, and scored higher for depression in the previous period tended to show higher levels of depression. Education had no significant effect and explanatory power for all variables inputted into this model was estimated to be 30.8% (p<0.001). The explanatory power for all variables input into Model 2, which was generated by inputting employment status into Model 1, was estimated to be 30.9%, which was 0.1% higher than for Model 1 (p<0.05). These results indicated that depression was significantly correlated with gender, age, income, presence of a spouse, previous depression, self-esteem, and employment status; accordingly, investigation of the factors that can narrow the gap among variables affecting depression should be conducted and socially supported.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.4
• /
• pp.293-318
• /
• 2022

The purpose of this study is to analyze the impact of reading on self-efficacy and multicultural acceptance. The Korean Education and Employment Pannel II data were used for the analysis. Through analyzing the data with latent growth model, the growth trajectories for reading, self-efficacy, and multicultural acceptance were identified, and the relationship between three variances were analyzed using multi-variate latent growth model. As results, reading books, self-efficacy, and multicultural acceptance were decreased, as times go by. Next, the intercept of reading was postively related with self-efficacy and multicultural acceptance. Finally, self-efficacy mediated between the intercept of reading and the multicultural acceptance, and it's statistically significant.

• The Journal of the Korea Contents Association
• /
• v.16 no.12
• /
• pp.480-491
• /
• 2016

This study aims to determine the factors associated with preparation for turnover in youth employees, using a data from the Youth Panel 2007-2013. Study population were composed by 17,037 employees and a generalized estimating equations (GEE) using panel logit model was performed. It was identified that socioeconomic(age, sex, level of education, monthly income and type of employment) and work-related factors(perception of difficulties in performing tasks compared to level of education, perception on the Job-Major match, stabilization of employment, autonomy and empowerment of jobs, peer relationship in workplace) were statistically significant variables. Based on the analysis, dissatisfaction on working environment or condition might lead to employees prepare to turnover and it is a series of activities that to improve welfare and find a suitable job for oneself.

• Survey Research
• /
• v.11 no.1
• /
• pp.43-61
• /
• 2010

This research estimated the variation of high school students' academic achievement by using the second to the fourth wave KEEP(Korea Education and Employment Panel) data. We explored the effects of study on academic achievement in proportion to self-regulated learning hours(except for school work and private tutoring). Analysis variables were self-directed learning(study) hours throughout senior high school and 9 grade academic achievement. We conducted Latent Growth Model(LGM) using KEEP panel data and program LISREL 8.8. Results showed that there were significant effects of self-regulated learning hours on the variation of senior high school students' academic achievement. Therefore, this was considered to be useful tips in getting the relation between students' learning and academic achievement.