• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.933-945
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• 2012

In this paper we used the KLIPS(Korean Labor and Income Panel tudy) data that surveyed from 2006(wave 9) to 2009(wave 12). Other previous studies are concerned with the panel attrition in the early wave, but this study classifies the response pattern and investigates some factors that influence panel attrition when the panel tends to stabilize. It was revealed that panel attrition was influenced by relocation and housing type through the logit model. Besides it was appeared that panel attrition was affected by the monthly living expenses and the overall household income through the decision tree.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.1-8
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• 2011

In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

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

• Journal of radiological science and technology
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• v.45 no.6
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• pp.503-513
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• 2022

The purpose of the study is to investigate the characteristics of the subjects and analyze and confirm the association between related factors in order to study the factors affecting drinking level after COVID-19 using data from the Korea Labor and Income Panel(2018-2020). The result of the study indicated that male group, 10s and 20s, unemployed status, and groups whose personal income fell before COVID-19 have a high risk of increased drinking levels. n particular, in the group where the frequency of drinking before COVID-19 decreased, the risk of increasing the level of drinking after COVID-19 was found to be higher. Further research is needed on this group of subjects. Based on this, various studies on drinking factors are needed through long-term monitoring studies on drinking levels after COVID-19.

• Journal of the Korean Home Economics Association
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• v.42 no.8
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• pp.65-76
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• 2004

The purpose of this study is to offer essential information related to early childhood education and care policy. Using the Korea Labor and Income Panel Study(KLIPS) Vol.5., this study analyzed sociodemographic factors that decide the use and type of institute for early childhood education and care. The following results are obtained： First, it is not easy for young children under three years old to use education and care institutes because of their preference for home care. Second, the mother's job status affects the child's use of child care centers and private institutes for education except for the using of early child education centers. Third, the affecting main factors for the use of child care centers are quite similar to critical factors for use of the private institute for education. Thus, young children using the private institute for education could be interpreted as coming from a low-income class compared with the children using the early child education centers.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.151-169
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• 2003

This study is to investigate the important factor for household private education expenditure. Especially, this study analyzed the influence of financial management characteristics. For this, the income level is classified by comparative poverty and analyzed the influence power The data for this study was "the Korean Labor Panel" conducted by Korea Labor Institute in 2000. The result showed the demographic factors by the income level and financial characteristics have big difference. Also, income level affects private education expenditure. For lower income level, demographic factors affect more than financial factors. This result explained the private education expenditure as luxurious goods. For middle income level, financial factors affect more than demographic factors. This explained the private education expenditure as choice goods. For upper income level, the private education expenditure was explained as investment goods.

• Korean Journal of Social Welfare
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• v.48
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• pp.113-149
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• 2002

The primary purpose of this study is to analyze the decreasing effect of public and private income transfers on poverty rate. Two year data of Korean Labor and Income Panel Study (KLIPS, 1998, 1999) are used for the analysis, and 1/2 of median income and 1/3 of mean income are adopted to measure poverty rate. Although private income transfer contributes more to reduce the rate than the public transfer, the main effect for decreasing poverty rate is forced by the wage. Statistically significant variables that affect to the exit of poverty based on the logistic regression analysis are number of family members(-), wage(+), property income(+), social insurance benefit(+), and the transfer income(+). Therefore, the future policy should be more related with the active labor market policy for developing better human resources among the poor family.

• Health Policy and Management
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• v.17 no.3
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• pp.50-67
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• 2007

This study investigated income elasticity of household health expenditures and differences by income level from 1998 through 2003. Data from Korean Labor and Income Panel Study was used for empirical analyses. To estimate the income effects on health expenditure, the two-part model was employed: a logistic regression for any health expenditure-first part-and a Ordinary Least Square regression for health expenditure conditional on any spending-second part. To estimate income elasticity, both health expenditure and income were log transformed in the second part. In addition, the random effects(RE) model was used for a longitudinal panel which was continuously followed from 1998 through 2003 to estimate income effects on health expenditures controlling for within and between unobservable household characteristics. Furthermore, difference in income effects on health expenditure across income level was investigated. Although income slightly increased odds of any health expenditure, there was not no table differences across income level. Income significantly increased health expenditures during study period(overall income elasticity: about 0.2) and the highest 20% income group presented higher income elasticity than the lowest 20% income group.

• Journal of Labour Economics
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• v.35 no.2
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• pp.25-41
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• 2012

This paper estimates the intergenerational income mobility of Korea by applying the new errors-in-variable correction methods to recent waves of the Korea Labor and Income Panel Study. The intergenerational income elasticity estimates ranged from 0.24 to 0.34 show a substantial intergenerational income association in Korea and an upward trend over time.

• Health Policy and Management
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• v.14 no.4
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• pp.1-20
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• 2004

This study is to examine relationships of several socioeconomic position indicators with mortality risk in a nationwide longitudinal study of South Korea. The Korea Labor & Income Panel Study, conducted on a probability sample of urban South Korean households by Korea Labor Institute, contains date of death information for the decedents which were used to estimate relative risks of mortality and their $95\%$ confidence intervals (CI) with Cox regression analysis. A total of 125 men and women among 8,415 subjects died between 1998 and 2002. Socioeconomic differentials in mortality were observed after adjustment for sex and age. Those with less than 12-year education had 1.90 times $(95\%\;CI=1.25-2.91)$ greater mortality risk than those with 12-year education or more. Greater mortality risks were also found among those with low occupational class and manual occupation. The magnitude of differentials in mortality risks between occupational class were similar in two different approaches to measuring women's occupational class: (1) approach 1 where women, married or not, retain their own occupational class, and (2) approach 2 where married women are assigned their husbands' occupational class. Relative risks of dying among those with low household Income were 1.62 $(95\%\; CI=1.08-2.42)$ compared with the counterparts. Those who reported economic hardship at the time of survey in 1998 had greater risk of mortality $(RR=1.83,\;95\%\;CI=1.21-2.78)$ than those who did not. In conclusion, increased social discourse and policy discussions about these health inequalities are needed in Korean society. Future studies should explore the causes and mechanisms of socioeconomic mortality inequalities.