• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.131-152
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• 2012

The aims of this study were to analyze middle-aged households' financial preparation for retirement. Specifically, this study surveyed the relation between human capital investment for children and the middle-aged households' financial preparation for retirement and investigated factors influencing financial preparation for retirement. Data were obtained from the 3rd Korean Retirement and Income Study (KReIS) in 2009, and a sample of 757 households was selected. The statistical methods were frequency, percentile, mean, standard deviation, ${\chi}^2$, t-test, Pearson's correlation coefficient, and logistic regression analysis. The findings of this study are as follows. First, the percentile of preparation for living costs for old age was 49.9% for the middle-aged households. In terms of the types of preparation for living costs for old age, the results showed 61.6% of personal preparation, 33.9% of pension system, and 1.3% for children and relatives. In relation to the adequacy of the preparations for living costs for old age, preparations made by 57.4% of the middle-aged households were inadequate. Observing the minimum living costs for old age and adequate living costs after retirement for single and couple, the minimum living costs of the middle-aged households was 1.46 million won for couple and 0.91 million won for single. The adequate living costs for old age was 2.07 million won for couple and 1.34 million won for single. Second, there were 757 households with total education expenditure. Of these, 208 incurred annual expenditure on public education, and the annual expenditure for public education was 7.28 million won. There were 170 households with annual expenditure for private education, and the annual expenditure for private education was 2.50 million won. 243 households of middle-aged households had annual expenditure for human capital investment, including both public and private education, with annual expenditure for human capital investment for children of 7.82 million won. Furthermore, in the human capital investment factor, there was a difference in the middle-aged households' financial preparation for retirement according to their annual expenditure for human capital investment including both public and private education. In addition, there was a difference in financial preparation for retirement based on their public education expenditure. Third, in the logistic regression model 1, which included human capital investment, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and human capital investment. In the logistic regression model 2, which included annual expenditure for public education and annual expenditure for private education, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and annual expenditure for public education.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.315-331
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• 2007

The purpose of this study is to examine current situations about and factors related to expenditures of private education among pre-school children and to provide policy implications useful for future pre-school children education. The subjects of the study were parents of pre-school children under seven years of age, who lived in Seoul and Incheon area. The survey was conducted using parent questionnaire. The major findings of the study are: First, 86.8% of parents of pre-school children use private education and the average expenditure on it was 154, 446 won. Second, major factors determining their private education expenditure are educational level of parents, parents' job characteristics, household income, and region. Third, the most important reason for using private education among parents is to improve and excel in academic performance of their children. Forth, the higher the parents' expected returns from private education are, the higher the expenditure level of private education is. Fitth, the results of the logistic regressions showed that parents' attitudes toward private education was the most important factor in determining household economic burden associated with private education. The odds were 5 times greater for the parent group with strong desire for private education than for the parent group without it and 1.2 times greater for the parent group with high-expected returns from private education than the parent group without it. In conclusion, systematic, universal educational policies need to be developed to provide and support all the parents with pre-school children, given that their current economic burden is substantial. By providing such support, we can help parents focus on public education. This study examining current situations about and determining factors related to private education expenditures among pre-school children collected data limiting only Seoul and Inchoen area, therefore, future studies need to include data collected nationwide for generalizability of the findings. As well, development of more elaborated survey instruments and analytical methods would advance our understanding in the field.

• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.3-17
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• 2015

In Korea, the private education spending of the households accounted for about 3% of GDP and such a education fever has been associated with the financial burden of households. The main purpose of this paper is to investigate the effects of regional education environment on the private education expenditure of the households using the Korean Labor and Income Panel Survey(KLIPS) data. The quantile regression model is used to examine whether the effects of regional education environment such as the degree of education fever differ across the 'quantiles' in the conditional distribution of private education expenditure. The empirical results showed that the amount of private education expenditure is under the influence of the regions where the households reside. In addition, it was found that the private education spending of the households in the upper quantile groups are more likely to be affected by the regional education environments than those in the lower quantile groups.

• 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.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.71-86
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• 2010

The purpose of this study was to find the characteristics of university education expenditure and how university education expenditure affected household finance such as total household expenditure after excluding education expenditure, savings, and debts respectively. The data were drawn from the 8th Korean Labor & Income Panel Study conducted by the Korean Labor Institute, and 563 households with children attending university were selected. The t-test, F-test (Duncan's multiple range test as post hoc test), OLS, and Heckman's two-step estimation were utilized by SAS 9.1 and SPSS 12.0 for Windows. The results were as follows: First, average annual tuition was found to be 6,170,000won(21.5% of total annual household expenditures) and average annual private education expenses were 4,920,000won(15.9% of total annual household expenditures). Second, the higher the household income levels, the more spent on university education, whereas the higher the household income level, the lower the household expenditure-to-university education ratio. Third, tuition and private education expenses had a negative impact on household expenditures after excluding education expenditure.

• Journal of Families and Better Life
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• v.21 no.1
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• pp.49-60
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• 2003

The purpose of this study is to analyze expenditure on children's private, after-school education, perceptional need for private education, and budget planning pattern for the expenditure of education applying survey data, and to investigate current situation to Identify solving planning for digital age. taking on-line educational service system and internet financial planning for children's educational expenditure into account. Under the purposes, this study especially focused on the condition of on-line educational service system and the merits as well as problems of the system, the need for household financial planning for children's education, and the condition or nature of internet financial planning system, in terms of providing market information and of suggesting policy implications.

• Journal of the Korean Home Economics Association
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• v.48 no.10
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• pp.105-119
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• 2010

This study investigated the association between the expenditures for childrearing and the intention to have the second childbirth applying the recursive equation models. The major results were as follows. First, more than half of the households with one child did not have an intention to have the second childbirth. Second, about 40% of the household expenditure was spent for childrearing. About 36% of the childrearing expenditure was spent on the childcare and education, and about 64% on purchase of goods and services for child. Third, the variables which had a significant effect on the intention to have the second childbirth were child's age, mother's education, father's income, the private educational expenditure, and consumption expenditure for child. The intention to have the second childbirth did not have a significant effect on the level of childrearing expenditure. The implications for the family policies were suggested.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3139-3153
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• 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 System Dynamics Review
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• v.12 no.4
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• pp.5-34
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• 2011

The purpose of this paper is to evaluate the policies for reducing private tutoring expenditure in Roh Mu Hyun and Lee Myeong Bak Government using Causal Loop analysis based on the Systems Thinking perspective. The results are as follows. First, high educational achievers receive more private tutoring than lowers and children who have rich parents have better chance to take private tutoring than the others. It reflects the social characteristics which emphasize the academic ability and educational background. Second, two governments implemented educational policies to control the private tutoring expenditure as balancing loops ; strengthening public education, providing after school programs and EBS KSAT teaching and improving the entrance exam of university. Third, they overlooked the unintended feedback loops coming from 1) incongruity between causes and countermeasures of shadow education 2) wrong perception of substitutional relationship between public education and shadow education 3) side effect of the policy increasing the weight of student record 4) problems of diversifying high schools 5) dilemma of easing the burden of testing through admission officer system. The conclusion is that policies of reducing the private education expenses have failed because two governments don't consider unintended Feedback Loops in the process of making education policies. So we have to make policies based on Systems Thinking and reducing private education expenses should not be the purpose of strengthening the public education.

• Journal of the Korean Home Economics Association
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• v.37 no.10
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• pp.67-80
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• 1999

The purpose of this study is to classify the types of coping behaviors of the burden of private education expenditure and to identify the characteristics of the households representing certain coping behaviors. For empirical analysis, the data of the study were collected from 868 housewives living in Seoul and Sungnam. The statistical methods adopted for data analysis are frequency, percentage, mean, Factor analysis, Cluster analysis and Logit analysis. In this study, it is assumed that the coping behaviors are classified by three factors - financial management, negative, positive. The reset of the logit analysis shows that private education expenditure and subjective burden are the most critical variables for classifying the coping behaviors.