Journal of Family Resource Management and Policy Review
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v.20
no.1
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pp.159-182
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2016
The purpose of this study was to investigate the relationship between household income, consumption wants for education, private education expenses, and old-age economic preparation behaviors in mothers with school-aged children. The participants in this study comprised 393 mothers living with children aged 8.19 in Daegu. All participants had wage-earning husbands. A questionnaire was used to collect the data. Factor analysis was conducted using SPSS and structural regression analysis was performed using AMOS. The main results of this study were as follows: The participants' old-age economic preparation behaviors were influenced by their household income, the proportion of private education expenditures they paid, and the perceived burden the participants had of these private education expenditures. The consumption wants for education in mothers with school-aged children had no significant impact on the proportion of private education expenditures paid by the participants. Household income, proportion of private education expenditures, and perceived burden of the private education expenditures had a direct effect on the old-age economic preparation behaviors of the participants. When the perceived burden of the private education expenditures was mediated, the consumption wants for education in mothers with school-aged children had an indirect effect on their old-age economic preparation behaviors.
The purposes of this study were to identify the household's financial status by life cycle stage and no analyze contributing factors to financial planning for retirement preparation among Korean marred couples. For these purpose, 2074 married couples those being under 55 and having either single earner or dual earners were selected, and total sample was divided into three stages; young-aged(<35), middle-aged(35-44) & old-aged(45-54). Statistics were frequencies, means, percentile, and logistic analysis. The results were as follows. First, old-aged had higher level of total income, total expenditure and total assets than either young-aged or middle-aged. In addition, households those holding private pensions were likely to have higher total income, total expenditure and total assets than those owning no private pension. while middle-aged had a highest total debts. Second, gini coefficients of total income and total expenditure between three aged groups were similar, but old-aged had the highest gini coefficient of total assets and total debts. In particular, gini coefficients of total assets and total debts of households those having no private pension were greater than those holding private pensions. third, contributing factors to private pension ownership of young-aged were family & household-related factor and financial factor, middle-aged's factors were household head's characteristics and financial factor. Also, old-aged's factors were household head's characteristics, family & household-related factor and financial factor.
Objective: The purpose of this study was to examine the changes of childcare expenses and private education expenses caused by target expanding the childcare subsidy policy and its relationship to household income. Methods: The study analyzed data of the Korean Welfare Panel Study from 2009, before the universal childcare policy was enforced, to 2013, when the universal childcare policy was enforced. Results and Conclusion: The results of analysis were as follows. First, while childcare expenses, private education expenses, and their ratios to household income showed a tendency of gradual decline, the graphs of childcare and private education expenses were symmetric. Second, there were differences in childcare and private education expenses among income classes. Third, in 2009, before the universal childcare policy was enforced, household income affected childcare and private expenses. Lastly, in 2013, after the universal childcare policy was implemented, household income had a greater effect on private education expenses, while the effect of household income on childcare expenses became insignificant.
The purpose of this study was to analyze the differences in the expenses of private education and the economic preparations for old age according to household income and consumption wants for education in mothers with school-aged children. The data used in this study were collected from 416 mothers with school-aged children aged 8 to 19 years old living in Daegu. The data analysis methods adopted for the study were two-way ANOVA and Scheff$\acute{e}$ test. The results of this study were as follows: First, there were differences in the private education expenditure according to the household income and the consumption wants for education in mothers with school-aged children. In the group of mothers of low household income, the mothers with high consumption wants for education spent more money on academic education and music, fine arts or physical education than the mother's with low consumption wants for education. On the other hand, in the group of mothers of high household income, the mothers with low consumption wants for education spent more money on academic education and spent less money on music, fine arts or physical education than the mothers with high consumption wants for education. There were no meaningful differences in the group of mothers of middle household income. Second, there were differences in the perceived burden of private education expenditure according to the household income and the consumption wants for education in mothers with school-aged children. In the group of mothers of middle household income, the mothers with low consumption wants for education perceived there was a higher burden for private education expenditure than the mothers with high consumption wants for education. Third, there were differences in the expenditure preparation for old age and the economic preparation behavior for old age according to the level of household income. The mothers with high household income spent more money on preparation for old age and did well in economic preparation behavior for old age than the mothers with middle and low household income.
This study investigates inequality of the private educational expenditure using the Family Expenditure Survey of 1990, 1996, 1998, and 2000. The major results are: first, inequality of the private educational expenditure has been relived between 1990 and 2000; second, despite decrease in household income right after the Korean economic crisis, the private educational expenditure has been increased in the households having middle and high school students; third, the gaps in the private educational expenditure between income groups are mainly due to the differences in the spending levels of the private education rather than differences in the percentages of households who spend any in the private education; fourth, in 2000, the gini coefficient of the private educational expenditure among households having elementary school student is 0.4832, and 0.6468 among households having middle and high school students; fifth, 30% of the households having middle and high school students who show the highest level of the private educational expenditure occupy 80% of the total private educational expenditure made by the whole households.
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.
This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.
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.
The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.
In this study it was assumed that planning was composed of three activities -resource assessment standard setting information seeking and implementing was composed of money investment and time investment, Two variable groups which were assumed to be related with planning and implementing were household characteristics and housewife's value characteristics. Money investment to children's education was significantly affected by income, net wealth of household instrumental value of eduation and information seeking about private education. The variables assumed to affect time investment to children's education were instrumental value of education information seeking about private education and expected education level.
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