• Journal of Families and Better Life
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• v.25 no.6
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• pp.111-120
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• 2007

The purpose of this study was to investigate the relationship between householder's education level and the education expenditure for children. The Family Income and Expenditure Survey data of the 2005 National Statistical Survey were used to examine the hypothesis. For data analysis, ANOVA and regression method were applied. The results are as follows: House-holds in Seoul spent 533,000 won for child education per month on the average, and 64% of the expenditure was for private education. Households whose householder's education level was high spent more expenditures on public and private education for children than the households whose householder's education level was low. When the household income level was controlled, householder's education level affected only private education expenditure.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.171-171
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• 1996

The Purpose of this study is to find out factors which affect the expenditure on educations for children's human capital and to provide fundamental information to make a policy for education. Data are obtained from 2484 maried couples with children on the pre-school or over. The results of this study are as follows: 1) If the eldest child was in pre-school or public school, the expenditure on private education was higher than that of public education. While in the beyond junior high school, the expenditure on public education was much higher. 2) Life-cycle, the number of children, region, earned income, non-earned income, real assets, Engel's coeeficient were significant impact on the expenditure of education.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.129-142
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• 1998

The purposes of this study were to identify education expenditure and to analyze contributing factors to total education expenditure for two children among married couples. For these purposes, total sample of 1,256 married couples those having two children of both pre-school aged and school aged were selected, and total sample was divided into four groups by first child's school aged; those were pre-school aged(375), elementary school aged(385), middle & high school aged(248) & college aged(248). Statistics used for the analysis were frequencies, means, percentile, and tobit and OLS analysis. The results were as follows. First, the households those having the first child of pre-school aged didn't spent for public education expenditure, while public education xpenditure of school aged increased continuously. The households having the first child of high school aged spent the most private education expenditure among four groups, however, total education expenditure of the households having the first child in college aged spent the most education expenditure were household head's age, family size, home ownership and financial asset amount, and elementary school-aged's factors were household head's age, education level, home ownership and total household income. Also, household head's education level, wife's expectation of future economy, residence, total household income had significant effects on total education expenditure in middle and high school-aged, and household head's job, home ownership, contact with neighborhood, residence and Engel's coefficient were significant variables in college aged.

• 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 Nutrition and Health
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• v.38 no.10
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• pp.847-855
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• 2005

This study investigated and compared the daily activities and energy expenditure of normally-weighted and obese elementary school children. The participants were 115 boys and 115 girls (6th grade) at ten elementary schools in Busan. Time spent on each activity was evaluated using the twenty-four hour recall method. 1) The general characteristics of the normally-weighted and obese children did not differ, although the normally-weighted children exercised and used stairs more than the obese children.2) Among their classified activities, the children spent most of their time resting, study, leisure, physiology and hygiene, commuting, and housework in that decreasing order. Normally-weighted children spent less time tying down and in conversation with family and friends than obese ones. 3) The children's average activity factors were 1.47 - 1.50. The normally-weighted children's rest energy expenditure (REE) (1391.4 kcal,1264.7 kcal) was less than that of the obese children (1711.4 kcal. 1461.0 kcal) . The normally-weighted children's daily energy expenditure was less than that of the obese, but energy expenditure per body weight was less in obese children than in the normally-weighted. In conclusion, sedentary activities and energy expenditure per body weight was less in the obese compared to the normally-weighted children. Programs to help children perceive and practice desirable physical activities should be suggested for prevention of obesity in children. (Korean J Nutrition 38(10): 847$\sim$855,2005)

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.871-878
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• 2021

This study analyzed the polarization of software education by analyzing the relationship between the average monthly total private education expenditure, software education expenditure, and academic achievement. For this purpose, data were collected and analyzed by surveying 2,780 parents of elementary school children nationwide. The results of this study are as follows: First, there was a statistically significant difference in children's academic achievement depending on whether or not they participated in software education. Second, the higher the children's academic achievement, the higher the percentage of participation in software private education expenditure. Third, there was a significant positive correlation between total private education expenditure and software-related private education expenditure. Fourth, although not statistically significant, there was a positive correlation between software private education expenses and academic achievement. In this study, software education provided by public education is not sufficient. For this reason, participation in private education and the amount of expenditure are increasing, and there is a gap in improving the main competencies of students according to household income.

• Journal of Family Resource Management and Policy Review
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• v.4 no.1
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• pp.1-13
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• 2000

This study examined patterns and determinants of families’supplementary educational investment on children. By supplementary educational investment, it meant the amounts of money spent on children’s education other than regular formal schooling expenses. The data used were from the 「1996 Household Expenditure Survey」conducted by the National Statistical Office. The statistical methods employed were descriptive statistics, cluster analysis and logistic multiple regression analysis. Results of cluster analysis revealed five different patterns of family supplementary education expense with relatively even proportion of families allocated to each pattern. The five education expenditure patterns were arts education dominant; other education dominant; gymnastics·clerical·computer education dominant; college entrance exam preparation dominant; and private tutoring dominant. Results of logistic regression analysis showed that the possibility of being in a pattern affected by various family socioeconomic variables. Important factors affecting there patterns were children’s schooling stage, residence, and mother’s education.

• 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.

• 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 Family Resource Management and Policy Review
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• v.2 no.1
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• pp.133-149
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• 1998

The purpose of this study was to analyze the expenditure state of midlife households for elderly life stage and to find out the variables that have influence upon these expenditure. The findings are follows: 1) The expenditure state was influenced by various as like wife’s age, couple’s education, number of children, husband’s retiring allowance, monthly savings, whole assets of households, level of dependence upon own children, etc. 2) The demand for economic preparation, program about elderly life, information and welfare system was related to the practical expenditure state absolutely and relatevely. The result showed that the husbands’retiring allowance was the most effective variable to the expenditure state for the elderly life. In conclusion the rational distribution of economics resources according to the family life stage is very important for the economic welfare of households.