• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.377-390
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• 2017

When conducting a survey, item nonresponse occurs if the respondent does not respond to some items. Since analysis based only on completely observed data may cause biased results, imputation is often conducted to analyze data in its complete form. The panel study is a survey method that examines changes of responses over time. In panel studies, there has been a preference for using information from response values of previous waves when the imputation of item nonresponses is performed; however, limited research has been conducted to support this preference. Therefore, this study compares the performance of imputation methods according to whether or not information from previous waves is utilized in the panel study. Among imputation methods that utilize information from previous responses, we consider ratio imputation, imputation based on the linear mixed model, and imputation based on the Bayesian linear mixed model approach. We compare the results from these methods against the results of methods that do not use information from previous responses, such as mean imputation and hot deck imputation. Simulation results show that imputation based on the Bayesian linear mixed model performs best and yields small biases and high coverage rates of the 95% confidence interval even at higher nonresponse rates.

• Journal of Labour Economics
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• v.25 no.1
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• pp.47-74
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• 2002

Since the Economic Crisis at the end of 1997, unemployment rate soared up to the record-high 8.6% (February 1999) and, for youth aged 15~29, it was 14.6% (27.8% for aged 15~19). In spite of economic recovery after the crisis, new participants in labor market at the school-to-work transition have faced with difficulties in finding their first jobs and, even further, the ratio of youth at out-of the labor force but not in school has remained at a higher level. It is important to calibrate the negative effects of nonemployment in the short-run as well as in the long-run, but there has been few study on the school-to-work transition in Korea. This study focus on the nonemployment duration to first job after formal education and comparison of its pattern before and after the crisis. A proportional hazard model, considering job prenaration before graduation (21.4% of the sample), with the semi-parametric baseline hazard is applied to the sample from the Korean Labor and Income Panel Survey(1998~2000) and its Youth Supplemental survey(2000). Interview of the Survey is conducted, by the Korea Labor Institute, to the same 5,000 household and 13,738 individual sample, guaranteeing nationwide representativeness. The Supplemental Survey consists of 3,302 young individuals aged 15 to 29 at the time of survey and 1,615 of them who are not in school and provide appropriate information is used for the analysis. The empirical results show that there exists negative duration dependence at the first three or for months at the transition period and no duration dependence since a turning point of the baseline hazard rate and that unemployment rate reflecting labor demand conditions has a positive effect on exiting the nonemployment state, which is inconsistent with a theoretical conclusion. Estimation with samples separated by the date of graduation before and after the crisis shows that the effect of unemployment rate on the hazard was negative for the pre-crisis sample but positive for the post-crisis sample.

• Journal of Labour Economics
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• v.24 no.1
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• pp.97-124
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• 2001

Co-residence is a type of intergenerational private transfers of resources: money, time and space. Adult daughters and their elderly parents decide to co-reside, depending on their utility levels before and after co-residence that mainly depend on the health status of the elderly. Therefore, co-residence implies positive net benefits to both parties in the sense that, when they co-reside, elderly parents share childcare and adult daughter provide elderly care. In other words, formal (paid) care can be substituted with informal (unpaid) one. Both marriage and giving births are considered as the major obstacles to labor market attachment of women who bear burdens of home production and childcare. Co-residence can be a solution for married women to avoid career interruption by sharing burdens with their elderly parents. However, most previous studies using the U.S. data on intergenerational private transfers focused on elderly care and have concluded that they reduce government expenditures associated with public subsidies to the elderly. This study focuses on adult daughters and it examines effects of co-residence on labor supply of married women in Korea, who face limited formal childcare programs in terms of both quantity and quality. It applies the Tobit model of married women's labor supply to the data from the Second Wave of the Korean Labor and Income Panel Survey( 1999), in order to investigate effects of co-residence and the work and health status of the co-residing elderly as well as their own health status. Four specifications of the empirical model are tested that each includes co-residence with elderly parents, their gender, or their work and health status. Estimation results show that co-residence, co-residence with female elderly, and co-residence with not-working female elderly have significant positive effects on labor supply of married women while poor health status of co-residing female elderly does not bring about any negative effects. However, co-residence with male elderly, regardless of their work and health status, has no significant effect The results indicate that co-residence is closely related to sharing of home production among female elderly and adult daughters who are married and, through intergenerational private transfers of resources in terms of time, it helps women avoid career interruption.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.495-504
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• 2007

Objectives : This study attempts to show how studies using non-experimental data can strengthen causal inferences by applying propensity score and instrumental variable methods based on the counterfactual framework. For illustrative purposes, we examine the effect of having private health insurance on the probability of experiencing at least one hospital admission in the previous year. Methods : Using data from the 4th wave of the Korea Labor and Income Panel Study, we compared the results obtained using propensity score and instrumental variable methods with those from conventional logistic and linear regression models, respectively. Results : While conventional multiple regression analyses fail to identify the effect, the results estimated using propensity score and instrumental variable methods suggest that having private health insurance has positive and statistically significant effects on hospital admission. Conclusions : This study demonstrates that propensity score and instrumental variable methods provide potentially useful alternatives to conventional regression approaches in making causal inferences using non-experimental data.

• Journal of Family Resource Management and Policy Review
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• v.25 no.2
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• pp.41-52
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• 2021

The purpose of this study is to examine how female labor force participation, family policies, and gender equality are related to fertility rate across countries. Multiple measures has been collected from various data sources(such as OECD, UNDP, and WVS) and the panel data set which includes (mostly) OECD countries range from 1990 to 2019 are analyzed. The major findings are as follows. First, based on OECD countries samples, female labor force participation is positively associated with the fertility rate, which implies that women's labor force participation does not lead to a reduction in fertility rate. Second, the length of paternity leave is positively associated with fertility rate whereas the direction is the opposite for the relationship between the length of maternity leave and fertility rate. This is attributed to the possibility that a longer period of maternity leave incurs the a higher opportunity cost of earning income, which leads to a reduced fertility rate. Third, countries with higher gender inequality index tend to have a higher fertility rate. Similarly, countries with higher gender equality value have a lower fertility rate. When the gender equality value is devideed into three sub-categories, education, politics, and employment, the gender equality value in education is the only sub-category which is negatively associated with the fertility rate. This study confirms that female labor force participation may not be a contributing factor in the lowering of fertility rate but instead can be positively associated with the fertility rate. Also, the results show that family policies or gender equality values can be significantly affect fertility rate.

• Journal of Labour Economics
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• v.24 no.1
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• pp.1-33
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• 2001

Public investment in education has been justified by assumed positive externalities of education. Using the 1995 10% Population and Housing Census and 1998 Korean Labor and Income Panel Study, this study first examines the distribution of human capital across Korean cities and industries, and second, investigates the sizes of external economies of education by exploring how the average schooling of workers in cities and industries affect an individual worker's hourly wage. Generally, the average schooling of workers in the capital region cities is much higher than in other cities and the average schooling of workers in high tech industries is much higher than in other industries. As the average years of schooling in a city increases by one year, workers with the same personal and job characteristics such as sex, education, experience, occupation, and firm size, earn about 3% more. Also as the average years of schooling of workers in an industry increases by one year, the workers with the same personal and job characteristics earns about 5~7% more.

• Land and Housing Review
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• v.11 no.4
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• pp.1-13
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• 2020

This research explores the generational similarities and discrepancies of socio-demographic and housing statuses between young adult children leaving the parental home and their parents. Utilizing the 20th Korean Labour and Income Panel Study (KLIPS), this study identified a total of 609 households who have left their parent home from 1999 to 2017. Two-thirds of the adult children were married couples while the rest was singles. Children's educational level was higher, and their household size was smaller than their parents. Both generations were mainly headed by employed and married men. The vast majority of the adult children lived in the same area with their parents and lived as tenants in much smaller housing than their parents. On the contrary, most parents were homeowners of a large single-family home. The generational differences were clearly observed in housing tenure, housing structure, and housing size. Although leaving parents' home is part of a transition to adulthoods (depending on the stability of the labor market and the affordability in the housing market), that process was largely triggered by the employment status that can lead to economic independence rather than their marital status. Both housing and job opportunities are important factors to determine independent life.

• Korean Journal of Social Welfare
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• v.59 no.3
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• pp.125-146
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• 2007

The purpose of this study is to investigate whether "the feminization of poverty" is under process in Korea and what factors are key determinants of these trends. The Korean Labor and Income Panel Study from 1998 to 2005 is used and the sample includes all individuals who aged 18 or more. The results show that the feminization of poverty is still under process since 1998 and the economic status of females is getting worse compared to their counterparts. Regarding the causes of these trends, the level of education and type of employment are significant predictors for explaining the feminization of poverty in cross-sectional data analysis. In the longitudinal analysis, however, the number of persons in households and the number or working persons have significant influences on the feminization of poverty. It is urgently necessary to enact social policies preventing discriminations against females in the labor markets and to introduce social welfare benefits for females based on citizenship. In addition, the welfare benefits for the elderly are also necessary because their economic status is the worst among all age groups.

• Korea journal of population studies
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• v.34 no.1
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• pp.99-127
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• 2011

This study examines whether educational differentials in health are greater in more recent cohorts in Korea. This study utilizes latent growth-curve modeling to examine intercohort trends in health for three educational subgroups, using panel data (2003-2007) based on a national probability sample of 9,639 adults. Among young and middle adults with less than a high school diploma, the 4-year newer cohort demonstrated better health at the same age, implying a favorable trend. Middle and older adults with college level and a high school diploma also enjoyed favorable trends in health. This study suggests the possibility that the education-based overall disparity in health is increasing, but there are variations in the trend depending on age group. The increasing disparity mainly occurred among older adults.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.301-322
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• 2013

By analyzing wave 1~11 (1998~2008) of Korean Labor and Income Panel Study(KLIPS) database, this study examines the effects of household characteristics and poverty duration on poverty exit. A special concern is to decide whether the decrease of poverty exit rates comes from true duration dependency or from the sample heterogeneity as poverty duration progresses. I also analyzed how the effects of independent variables are changed when unobserved heterogeneity is controlled. The results show that duration dependency disappears after controlling observed household characteristics and unobserved individual heterogeneity. This finding confirms that the apparent relationship between poverty exit rate and poverty duration is in fact a spurious association due to the sample heterogeneity rather than true duration dependency. In addition, the effects of household characteristics on poverty exit rate become more stronger when unobserved heterogeneity is controlled. Socioeconomic factors affecting poverty exit rates are such as householders' age, education, household composition, number of family members, labor force participation, and work status.