• International Commerce and Information Review
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• v.16 no.2
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• pp.185-198
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• 2014

The purpose of this paper is to examine a causal relationship and interaction among payment of education expenses, economic growth, imports and exports. The results of 'the Granger causality test' suggest that payment of education expenses are affected by imports and exports; and the other factors are not related. In addition, payment of education expenses and the relationship among variables confirmed by IRF show that payment of education expenses has a minus(-) effect on exports at the beginning and then it turns into plus(+) as a certain time passes. On the other hand, it has a minus(-) effect on imports at the beginning, and this gradually changes to zero(0). Lastly, it turns out that it has a plus(+) effect on GDP. It is therefore estimated that the demand for high-quality manpower is expected to grow and new investments for education to rise with increases in imports and exports with initial acceleration. The findings show that government education investment in foreign languages and research manpower must take precedence in order to meet the demand for high-quality manpower.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.101-118
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• 2002

This study examined the levels and trends in the household expenditure in both public and private education. Between 1982 and 2000, the level of the total educational expenditure increased by 5% in each year on average, increased by 2.2% for public education, and by 11.4% for private education. On the public educational expenditure, the consumption expenditure elasticity was 0.2 and the price elasticity was 1.49. On the private educational expenditure, the consumption expenditure elasticity was 1.5 and became below 1 after 1998, and the price elasticity was 2.63. The results indicated that the educational expenditure was necessary rather than luxurious and there was excess demand for private education. The level of the educational expenditure would continue to increase without reforms both in the supply and demand sides.

• Journal of the Korean Home Economics Association
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• v.6 no.1
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• pp.1005-1022
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• 1968

• 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.

• 대학교육
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• s.18
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• pp.87-105
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• 1985

• Korea journal of population studies
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• v.26 no.1
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• pp.79-113
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• 2003

This study is intended to explore an income level necessart for the old-age by income Status. Firstly, it is verified whether there is significant difference between old-age and working age or not. Secondly, if their difference is found, it will be identified that it is determined by certain factors. Thirdly, it is brought out needful income level for the old-age living through analysing old-age consumption expenditure level over working age. The results in this research are as follows. Firstly, there is a significant difference between old-age and working age. Secondly, the major factors which generated difference between old-age and working age consumption expenditure are income, household size, and age. Thirdly, the income level necessary for oldage living is on average 61 %. By income status, it is 90-100% for low income status, 60-70% for middle income status, 50-60% for high income status.

• 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.7 no.1
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• pp.135-152
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• 2003

This study examined which factors influence educational expenditure by family life cycle. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 2,681 households. The results showed that the households having high school students had the highest educational expenditure and the households having middle school students had the highest ratio of educational expenditure to consumption expenditure. The education of household head, family type, the number of children, the age of the youngest child, and family income had significant effect on educational expenditure in all the stages of family life cycle. The results of this study will be useful for financial management of households and give suggestions for the government policy on education.

• 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 Family Resource Management and Policy Review
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• v.22 no.1
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• pp.99-118
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• 2018

This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.