• The Korean Journal of Applied Statistics
• /
• v.25 no.6
• /
• pp.933-945
• /
• 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
• /
• v.22 no.1
• /
• pp.1-8
• /
• 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 Labour Economics
• /
• v.35 no.2
• /
• pp.43-77
• /
• 2012

This paper investigates how individual labor income is determined by initial conditions - such as educational attainment, age, and sex - and all the other conditions. Using KLIPS (Korea Labor & Income Panel Study) database, the paper finds, first, that over the period of 1998-2008, cross-sectional income distribution has deteriorated for the whole sample but not within each age group. Second, income mobility defined by the relative importance of initial conditions in individual income disparities has moderately increased in most age groups.

• Journal of the Korean Home Economics Association
• /
• v.43 no.6 s.208
• /
• pp.47-60
• /
• 2005

This study analyzed the factors that affect the use and expenditure of households for childhood education and care centers. The data were drawn from KLIPS(Korea Labor and Income Panel study), vol. 5(2002). From this dataset, 1,171 households were selected for this study. The results of this study were as follows. First, when compared to unemployed mother's households, employed mother's households tended to use childhood education and care centers. Second, with rising household income, the use of childhood education and care centers decreased. Third, the expenditure was much larger for the households with a large income than those with a small income.

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

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

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

• Korean Journal of Social Welfare
• /
• v.61 no.2
• /
• pp.391-415
• /
• 2009

The purpose of this study is to examine the trends of income inequality by gender since 1997 economic crisis and to investigate what is the most influential factor on these changes for males and females. Data used for this study are nine waves of Korean Labor and Income Panel Study(KLIPS). Income inequality is measured by the Gini coefficient and the mean logarithmic deviation(MLD) and the MLDs are decomposed into three components to quantify within- and between-group inequalities. The results show that the extent of income inequality is greater for women during the whole period and is fluctuated more widely. Women's income inequality is mainly affected by the family-related variables, such as age and marital status, while men's inequality is primarily determined by the labor market factors, such as employment status, industrial types and occupation status. These results imply that gender-sensetive welfare policies need to be implemented and that it is necessary to assist the poor women and men through the benefits from the income assistance programs and labor market programs.

• Journal of Environmental Impact Assessment
• /
• v.25 no.2
• /
• pp.124-140
• /
• 2016

Using the Korea Labor Institute Panel Study(KLIPS), this study investigates the impacts of water pollution on life satisfaction in Korea. Panel random-effects ordered probit model is used to consider the ordered property of life satisfaction data and heterogeneity of panel data. The proxy variables to reflect the degree of water pollution are biochemical oxygen demand(BOD) and total phosphorus(TP). In addition to the environmental variables above, other determinants used in various studies on life satisfaction such as economic, social, and demographic characteristics are included. Estimation results show that water pollution is negative and significant for life satisfaction. Other indicators such as income, age, house ownership, gender, education are positively related while urban residence and own business are shown to be negatively related.

• Journal of Labour Economics
• /
• v.39 no.2
• /
• pp.35-51
• /
• 2016

Using the Korea Labor and Income Panel Study (KLIPS) from 2000 to 2008, we estimate the Frisch elasticity of labor supply. Our point estimates of the intensive margin elasticity are around 0.23. The estimates are not sensitive to changes in household income and assets as well as changes in workweek regulation during the sample period that workers shall work for 5 days per week from Monday to Friday. We also estimate the extensive margin elasticity by considering labor market participation. We find that the point estimates at the extensive margin are greater than those at the intensive margin, but not statistically significant.