• Journal of the Korean Home Economics Association
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• v.43 no.6 s.208
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• pp.47-60
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• 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
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• v.42 no.3
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• pp.91-104
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• 2004

This study analyzes the critical factors that decide the job continuity of married women after one of their life events, childbirth. It is based on the employment data from KLIPS(Korea Labor and Income Panel Study). Vols. 1-4, having observed 128 young mothers who gave birth to children after 1997. The analysis showed that women's employment after their maternity leave depend on whether new mother return to their previous job or not. The Following results are obtained: First, women's age, education, availability of caretakers for their children, and family income have a positive effect on the women's return to their pre-leave employers after childbirth. Second, professional or office work and the frequency of job transition before childbirth have a positive effect on women's employment in new jobs after childbirth. Third, women's age, availability of caretakers of their children, and professional or office work are critical factors that have a positive effect on women's job continuity after childbirth, whereas the frequency of job transitions has a negative effect on employment for women.

• 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 Labour Economics
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• v.35 no.1
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• pp.1-19
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• 2012

This paper estimated the first-born effects on wage among wage and salary workers born in 1954 to 1973 with the 2003 KLIPS data set. The first-born effect on wage was estimated as 7.3% with the parsimoniously specified wage function using age and gender. Adding various variables as independent variables, the effects were estimated statistically insignificantly differently, the effect was estimated as 7.6% with adding education, tenure, marital status, father's education, the number of siblings, and health. The effect is not statistically significantly different from that of the parsimoniously specified wage function. We estimated the first-born effects of male, and female wage and salary workers separately. The first-born effects of male wage and salary workers were estimated as 5.9~8.8%. The first-born effects of female wage and salary workers were estimated as 8.8~9.9%.

• Journal of Labour Economics
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• v.37 no.2
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• pp.1-47
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• 2014

Longitudinal analysis of individual wage data received from the Korea Labor and Income Panel Survey (KLIPS) for the 1998-2012 period reveals that nominal wage reductions are prevailing among job stayers. It is also found that the probability of nominal wage cut is higher in the period of lower inflation or higher unemployment, and affected by various individual or group characteristics. Additional analysis of two establishment-based average wage series and the KLIPS shows that real wages are substantially procyclical, which is attributed to the strong procyclicality of nominal wages rather than countercyclicality of inflation. Current findings defy wage-rigidity-based explanations of unemployment fluctuations or models that predict wage rigidity, inlcluding segmented labor market hypotheses.

• Journal of Labour Economics
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• v.35 no.2
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• pp.43-77
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• 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 Labour Economics
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• v.31 no.1
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• pp.135-162
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• 2008

This paper analyzes the impact of the mother's employment on her time investment in children's career decisions. Parental conversations with high school children and the parents' effects on children's career decisions are used as the proxies for the quantity and quality of time investment, respectively. For the empirical analysis, IV ordered-probit regressions are fitted to the KLIPS data. Other things being equal, the mother's employment does not cast any statistically significant impact on the quantity and quality of time input for children in high school. The effect of mother's employment on her time investment in children is positive for professional jobs while negative for nonprofessional jobs, but both lack the weight of statistical significance.

• Journal of Labour Economics
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• v.24 no.2
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• pp.35-62
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• 2001

Using panel data (KLIPS) we examine the relation between respondents' occupation and their fathers' occupation. We divide the urban employed into four subgroups according to their occupation: employer, self-employed, white collar worker and blue collar worker. We find that the effects of fathers' occupation on respondents' occupation are mediated by the level of respondents' education. The effects of respondents' initial occupation on their current occupation are also significant. In terms of the extent of mobility, we can rank the occupational groups as follows: employer, upper layer of self-employed, white collar worker, lower layer of self-employed and blue collar. In order to encourage occupational mobility, we should level the opportunity of education among different occupational groups.

• Journal of Labour Economics
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• v.43 no.1
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• pp.35-57
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• 2020

Using the Korea Labor and Income Panel Study(KLIPS), this study analyzes the effects of profit sharing on employer-provided training. The estimation results of the fixed effect model that controls for endogeneity show that the workers of profit-sharing firms have a 6.7%-6.8%p higher probability of receiving employer-provided training than the workers of firms without profit sharing. They also show that the workers of profit-sharing firms have a 3.3%p higher likelihood of having employer-provided OJT than their counterparts. The impacts of profit-sharing on employer-provided training appear consistently regardless of the estimation models and in the subsamples. These findings support the hypothesis that profit-sharing promotes employer-provided training.

• Communications for Statistical Applications and Methods
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• v.19 no.2
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• pp.293-301
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• 2012

Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.