• KLA journal
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• v.12 no.8
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• pp.29-32
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• 1971

• KLA journal
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• v.15 no.6
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• pp.28-32
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• 1974

• KLA journal
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• v.11 no.8
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• pp.28-32
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• 1970

• KLA journal
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• v.19 no.9
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• pp.29-30
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• 1978

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.715-725
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• 2014

This study uses a quantile regression analysis to investigate intergenerational economic mobility in Korea. The analysis is based on data from the 1st through 11th waves of the Korean Labor and Income Panel Study (KLIPS) conducted from 1998-2008. The household nature of the data allows us to link parents' incomes to children's incomes at different points in time. Using a quantile regression analysis instead of mean one reveals that the effect of fathers' earnings are different across the conditional distribution of sons' earnings, particularly being larger on the upper quantile than on the lower quantile. After controlling effect of sons' college education by including a dummy variable for the degree, however, the pattern among quantile effects for fathers' earnings is no longer clear. Instead a new pattern emerges that education has a much larger effect on the upper quantiles than on the lower ones. Using nonparametric estimates of conditional density curves based on the quantile regression results, we derive some interesting features in graphical forms, which are not obvious in numerical analysis.

• KLA journal
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• v.19 no.6
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• pp.31-31
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• 1978

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3139-3153
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• 2018

The purpose of this study is to analyze the gap of private tutoring expenditure using data from 2001 to 2016 of Korean labor and income panel study (KLIPS). The final analysis target is about 1,300 to 1,800 households nationwide who participated in the Korean labor panel survey in each year. As a result of the analysis, the expenditure of private tutoring expenditure has been continuously increased since 2001, and it is analyzed that there is a large gap in expenditure of private tutoring even in the comparison of groups divided by the quintile. The spending gap on private tutoring expenditure in the first and fifth quintiles has increased steadily, reaching 11 times in recent years. By forecasting the polarization of private tutoring expenditure since 2016 using the Brown's smoothing method, it is highly likely that the polarization of private tutoring expenditure will be further expanded. The implications for preparing an alternative educational policy and suggestions of conducting a follow-up study for private tutoring expenditure gaps were also discussed.

• 한국노년학
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• v.39 no.4
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• pp.959-976
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• 2019

The purpose of this study was to understand socio-demographic factors related to older adults' participation patterns in lifelong education. For the purpose, this study used the raw data of 2017 Survey of the Living Conditions of the Elderly (SLCE) conducted by The Korea Institute for Health and Social Affairs. From the data of 10,073 older adults, their lifelong education participation, participating program types, participating organizations, and participating frequency were analyzed by their sex, age, educational level, household income, the longest job status, and health status. This study found that female, age of 70-74 and 75-79, educational levels of high school and higher, the longest job status of regular employees and unpaid family workers, and decent health status of older adults more participated in lifelong education. According to lifelong education program types, significant differences were found between education groups of middle school/lower and groups of high school/higher and between 1, 2 quintile income groups and 3, 4, 5 quintile income groups. In relation to the participating organizations, groups of 70 years and older, middle school and higher education level, under 3 quintile income, and poor health tended to participate in lifelong education at the elderly welfare center, senior citizens, and elderly classrooms. In terms of participation frequency, high school and college/higher than 0 year of school education, and regular workers than unpaid family workers were more frequently participated in lifelong education. This study showed the inequality in lifelong education participation according to older adults' demographic characteristics; finally, this study suggested necessary policies and academic discussions for future older adults' lifelong education.

• Journal of Labour Economics
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• v.23 no.2
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• pp.61-80
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• 2000

Using raw data of the 'Family income and expenditure survey,' we find that the earning distribution worsened in Korea after the financial crisis; the gap between ninetieth and tenth percentile grew larger after the crisis more than before. Such a phenomenon is apparent within narrowly defined education and labor market experience variables. We found that the increase in earning inequality came from the rapidly increasing return to the components of skill other than the schooling and experience, which is caused by the increasing demand of skill after the crisis. Therefore, we can interpret the growing demand for skill is an important factor leading the increase in the earning inequality after the Crisis. And then, we think that the reason for the increasing demand for skill after the crisis can be found in the changes of the technology, the organizational and personnel practice, the globalization, and the labor market. We can derive policy implications from this : To narrow the inequality we must invest the industrial demand-oriented education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.443-452
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• 2018

The purpose of this study was to investigate the utilization behavior of medical services according to the characteristics of socioeconomic status (SES) and prevalence by using the 6th National Health and Nutrition Survey data for adults over 25 years old. Frequency and technical statistical analysis, ANOVA, ${\chi}^2$-test, and regression analysis were performed using SPSS 23.0. The results were as follows: more female than male, 65 years old and over, high school graduate, and unemployed and income quintiles were similar. The SES score considering education level, function, and income quintiles was the highest at 7-8, and most of the respondents felt moderate about their subjective health condition. The mean number of prevalence was $1.07{\pm}1.497$, the mean utilization of outpatient services was $0.50{\pm}0.045$, and the mean number of inpatient services use was $0.12{\pm}0.454$. Depending on general characteristics, there was a significant difference between subjects with prevalence and subjective health conditions. Higher age was associated with lower education, skill level, income, and SES score, and average prevalence was associated with poor subjective health conditions. More serious prevalence was associated with greater utilization of inpatient services. More chronic prevalence was associated with utilization of outpatient services. In other words, higher SES score was associated with lower overall use of medical services. Lower SES score was associated with higher use of medical services. In conclusion, we must develop appropriate health education programs that can prevent diseases in groups with low socioeconomic characteristics. There is the need to construct and implement a community-based appropriate health service system so that proper medical services can be used.