• Human Ecology Research
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• v.62 no.3
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• pp.409-426
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• 2024

The purpose of this study was to analyze the financial portfolios of single-person households. For the analysis, data from the Korean Labor Panel Survey (2021) was utilized, comprising 2,905 single-person households. The major findings are as follows: First, the proportion of households with monthly savings was 32.0%, while the proportion of households holding financial assets was 72.1%. Second, regarding the composition of monthly savings, single-person households predominantly held savings accounts (93.3%), followed by insurance (4.7%), with cumulative funds at a mere 0.8%. The composition of financial assets showed that the majority were in bank deposits (78.5%), followed by risk management assets (18.0%), and investment assets (2.4%). Third, multivariate analysis results revealed that younger age, higher education level, and better financial factors were associated with a higher probability of having monthly savings. The results for financial assets were largely similar, with females showing a higher likelihood of asset possession compared to males. Fourth, the proportions of both bank savings in total savings and insurance generally had opposing effects. Fifth, age group had the greatest influence on the proportions of safety and insurance assets, followed by income group. Middle-aged households had lower proportions of safety assets but higher proportions of insurance assets compared to young households, while the opposite trend was observed for elderly households. Middle-income households had higher proportions of insurance assets compared to low-income households, whereas high-income households had higher proportions of investment assets. Lastly, cluster analysis categorized single-person households' financial portfolios into five groups: Group 1 (32.2%): "Old-Sustain" characterized by insufficient current income but economically stable retirement. Group 2 (29.4%): "Financially Active" engaging in various financial activities due to relatively high education and employment rates. Group 3 (28.0%): "Financially Inactive" classified as elderly groups with minimal financial activities. Group 4 (9.1%): "Risk Financial Structure" consisting of relatively young individuals focused on risk management assets but facing issues in financial asset management due to high-risk assets and financial loans. Group 5 (1.3%): "Stable-Insurance Oriented" with high financial assets and income concentrated in insurance for both savings and financial assets.

• Journal of Families and Better Life
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• v.22 no.2
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• pp.85-95
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• 2004

The purpose of this study was to classify the household financial strategies and find out variables affecting the type of the household financial strategies. The data of 3994 households from Korean Labor and Income Panel Study(1999-2000) were used. The major findings were as follows: (1) the household financial strategies were Residual Saver Type(44.6%), Unformal Institute Saver Type(13.3%), Financial asset Saver Type(16.7%), Real estate Saver Type(13.4%) and Diversities(12.0%). (2) The household financial strategy types were changed rapidly during short term. (3) In 3994 households, the variables which influence on the change of the household financial strategies were education, job, numbers of children, place of residence, home ownership. Similarly, in each type, the change of household financial strategies was significantly different according to the household characteristics variables.

• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.365-388
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• 2011

By analyzing 1998~2008 Korean Labor and Income Panel Study(KLIPS), this study examines socio-economic characteristics of people who become poor. The study also explores the reason why they are in the state of poverty. To find determinants affecting poverty entrance, discrete-time hazard models are applied. Major findings are as follows. The socio-economic characteristics driving people into poverty are in the middle way of the long-term poor and the non-poor, combining the characteristics of both groups. This implies that many cases of the newly poor tend to enter and exit from poverty repeatedly. Poverty entry rate was at a high level right after the economic crises, then was a downturn and remained fairly stable since 2000. However, the young, the high-educated, and even the professional are on the rise as a new poverty group. The major reason people become poor is temporary job loss. This factor is confirmed again by multi-variate analyses. In building anti-poverty policies, it is important to distinguish the long-term poor from the short-term poor. For the long-term poor, virtually the only affective policy will be income support. On the other hand, a labor-market strategy for jos security will be more effective for the short-term poor. The characteristics and determinants of poverty entry may affect poverty duration and exit in the future. Future research will be needed to investigate the relationship among these factors.

• Korean Journal of Social Welfare
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• v.59 no.1
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• pp.5-25
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• 2007

The purpose of this study is to explore factors influencing the poverty of the elderly in Korea. In spite the fact that poverty of the elderly is more serious than any other demographic group, this important issue is rarely studied. Using the 7-year accumulated data from the KLIPS(Korean Labor and Income Study), I combined the work history of the elders, their demographic characteristics and residence to estimate pooled data analysis of the elderly after reaching age 55 and who are also only living by themselves(only the elders). The results of this study are as followed: first of all, age, education, marital status, wealth, residence and work history are shown to be significant predictors for the poverty of elderly. Second, the results show that factors influencing the poverty is different depending on the elder's (demographic) characteristics. For example, age and marital status is a more important predictor in female than in male, and wealth and health status is a more important predictor in elders who do not have a spouse than in elders who do. Such results suggest that the policy of the poverty of the elderly which is only focused on elder's characteristic is limited. Therefore we can suggest that a policy which workable people can earn decent income and saving wealth for their elderly in job is needed. Especially, policies on the 'Working Poor' and reconstruct the current public pension system is very much needed.

• Korean Journal of Human Ecology
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• v.16 no.3
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• pp.563-576
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• 2007

The purpose of this study is to analyze the financial performance according to the economic environment change. The data of 4,577 households in 2003 and 3994 households in 2000 is from the Korean Labor and Income Panel Study. The data were analyzed by various statistical methods such as frequency, mean-test, Duncan's multiple range test, k-mean cluster analysis. Findings were as follows; First, the classified household financial strategy types were Residual(44.3%), Financial Assets(24.0%), Informal Institutional(19.7%), Diversified Portfolio(7.6%), Real Estate(4.5%). Second, the criteria of classification of the financial strategies were relative, not absolute. Third, the rate of economic growth was high and the index of the current money was low in 2000. Fourth, households that employed a diversified portfolio strategy had the greatest net wealth.

• Journal of Families and Better Life
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• v.24 no.6 s.84
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• pp.61-77
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• 2006

This study was to analyze the effect of private education expenditures on financial performance. The data from 1,669 households were taken from the Korean labor and Income Panel Study. The major findings were as follows: (1) The mean of monthly private education expenditure was 257,400 won for all households. Almost 66% of households encountered an economic burden in paying for private education. (2) The mean of financial performance in all households was 31,420,000 won and those with higher assets showed the greatest financial performance (112.8 million won net gain). (3) The variables that significantly influenced on private education expenditures and the financial performance were different in all households. (4) The relationship between financial performance and private education expenditures was verified partially. The association was proved in the middle assets group.

• 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.

• Korean Journal of Social Welfare
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• v.57 no.2
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• pp.253-275
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• 2005

This paper empirically examines the reemployment pattern (full-time versus part-time reemployment) using pooling 6 year data of Korean Labor and Income Panel Study (KLIPS, 1998-2003). A discrete data analysis (multi-nominal logistic regression) is adopted to identify variables predicting reemployment pattern. Among those who lose full-time or part-time job in previous year, women and older people are found to have both longer unemployment durations and lower probabilities of full-time reemployment (versus either each of part-time reemployment or unemployment) than men and younger people. Therefore, the future labor market policy should be more associated with the one for reducing these gender and age differences in worker characteristics.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.411-429
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• 2019

There are not many studies on job satisfaction among older workers living alone. This study examined the determinants of job satisfaction for older workers living alone, and the job satisfaction was analyzed by the demographic-social factors, the health-psychological factors, and labor factors regarding to sex and ages. Korean Labor and Income Panel Study(KLIPS, 18th) used in this study, and the subjects were 308 older worker living alone and over 55 years old. The determinants of job satisfaction for male respondents were happiness, organizational commitment, and duration of work. Howver, the determinants of job satisfaction for female respondents were age, happiness, organizational commitment, and levels of skill. Income, organizational commitment, employment stability, and duration of work were the determinants for 55-64 years old. Education, organizational commitment, and levels of skill were the determinants for 65-74 years old. Education and happiness were the determinants for 75 years old and over. Age, income, happiness, organizational commitment, employment stability, duration of work, and levels of skill were the determinants of job satisfaction for all respondents. Finally, this study proposed the policy and practical implications for improving of job satisfaction among older workers living alone.

• Journal of Labour Economics
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• v.40 no.1
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• pp.69-97
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• 2017

This paper estimates the public and private sector wage gap trend from 2000 to 2014 using 'Korean Labor and Income Panel Study.' We account for unobserved fixed effect by using 1st differencing log wage in order to allow the gap to vary over time. Standard OLS estimates present the public sector wage is 10% higher than private sector on average. Moreover, the public sector wage premium displays the inverted V shape: sharply increasing up to 2006 and decreasing from 2007 to 2014. However, after controlling unobserved fixed effect, the public sector wage premium disappears and does not display the inverted V shape any more.