• Journal of Family Resource Management and Policy Review
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• v.16 no.2
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• pp.59-76
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• 2012

This study examines the relationship between intergenerational financial resource transfers and preparation for later life among the middle-aged. The study sample consists of 1536 middle-aged individuals with at least one living parent and one married child. The level of preparation for later life is dependent upon the level of household economic status. The statistically significant variables predicting the level of preparation for later life include age, education, subjective health status, household income and household assets. Moreover, intergenerational resource transfers are statistically significant factors that explain the level of preparation for later life. The effect of financial transfers from middle-aged parents to their adult children on the level of preparation for later life is the most significant financial transfer variable.

• Journal of Family Resource Management and Policy Review
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• v.18 no.2
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• pp.143-162
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• 2014

The purpose of this study is to analyze the influences on resource transfers between middle-aged parents and their married children. This study used 2009 data from the National Research Foundation of Korea regarding inter-generational resource transfers and preparation for later life (kfr-2009-c00010). A sample of 1208 households of middle-aged parents with married children was used. The study found that parents provided financial resource transfers to their married children in the following circumstances: where parents received financial resource transfers from their married children, where the household income of parents was high, where the children were younger, and where the children were male. Parents provided instrumental resource transfers to their married children in the following circumstances: where parents received instrumental resource transfers from their married children, where the gender of children was female, where the children were employed, where married children had their own children who were either younger than a preschooler, and where household incomes of married children were high. Parents received financial resource transfers from their married children in these circumstances: where their emotional ties with their children was high, where the household income of the parents was low, where the household income of the married children was high, and where married children had preschoolers. The circumstances in which parents received instrumental resource transfers from their married children were where parents provided instrumental resource transfers and the household incomes of married children were high.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.63-78
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• 2018

This study examined the insolvency of debtors using multiple-indicator approaches and compared the outcomes across income levels with the 2016 'Household Financial and Welfare Survey'. This study used (1) the total debt to total assets ratio (DTA), (2) the total debt service ratio (DSR), and (3) the Household Default Risk Index (HDRI) recently developed by the Bank of Korea. Households in the lowest income quintile were more likely to be insolvent than any other income group. Demographics, such as age and gender of the household head, and most of the financial variables significantly increased the likelihood of insolvency based on the DTA. The number of household members and job status increased the likelihood of insolvency based on the DSR. Also, age, gender of the household head, and most of the financial variables increased the likelihood of household insolvency based on the HDRI after controlling for other demographics and financial variables.

• Journal of Family Resource Management and Policy Review
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• v.3 no.1
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• pp.123-134
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• 1999

This study investigated the participation of household labor of employed wives and husbands and it’s influential variables. The subjects of this study were 287 couples(employed wives and husbands) living in Seoul. The data were analyzed by various statistical methods such as Frequency, Percentile, Pearson’s Correlation Analysis and Multiple Regression Analysis. The results of this research were as follows: 1. Wives spend on average of 7 hours and 23 minutes(per day), of 6 hours and 35 minutes(per weekday), of 12 hours and 7 minutes (per weekends) on household labor, whereas husbands spend on average of hours and 38 minutes(per day), of 2 hours and 11 minutes(per weekday), of 5 hours and 18 minutes(per weekends) on household labor. Wives performed most childcare, next, food of the household labors. Husbands performed most childcare, next housing of the household labors. 2. In wives’participation of household labor, the influencial variables were the number of child, wive’s age and wive’s education level. In husbands’participation of household labor, the influencial variables were the number of child, husband’s sex role attitude, wive’s age, and flexibility of wive’s work.

• Journal of Family Resource Management and Policy Review
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• v.7 no.2
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• pp.45-57
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• 2003

This study analyzed the differences in household debt characteristics by wealth levels. The dataset used was the 2000 National Survey of Family Income and Expenditure. The major findings of this study were as follows; First, about 49% of sample owned some amounts of debt. Household in high wealth levels had lowest debt burden while households in low wealth level had highest debt burden. Second, the amounts of debt owed to financial agents were highest regardless of wealth levels. Third, all groups borrowed money for the purpose of purchasing real estate.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.35-53
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• 2015

The purpose of this study was to investigate the effects of social supports and health on the depression of the rural elderly according to their household patterns. Data were collected from 1,000 of the elderly over 65 living in rural Korea. A questionnaire was used with direct interviews and was analyzed through descriptive statistics, ANOVA, and a multiple regression analysis. The major findings of this study are as follows. First, the general characteristics, social supports, and health of the rural elderly are significantly different according to their household patterns. Second, depression in the rural elderly is also significantly different according to household patterns; elderly people in a single household report greater depression than elders in a coupled household or those in a household with a child. Third, satisfaction with health conditions and nutrition management variables has a significant influence on the depression of the rural elderly in all household patterns. Fourth, there are differences among variables that affect depression of the rural elderly according to their household patterns.

• Journal of Family Resource Management and Policy Review
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• v.3 no.2
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• pp.91-103
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• 1999

This paper gropes how to connect philosophy of household management(PHM) to real life. PHM is to think and to act for better quality of life, so PHM should contain not only theory but also practice in itself. In that sense, PHM is consist of two parts: one is viewpoints how to deal with home management and the other is practice. This paper presents 5 main viewpoints of PHM. Then, it explains PHM can connect with education of human nature, and ecological value in PHM can connect with practice of life. Also, it proposes a guide for practice.

• Journal of Family Resource Management and Policy Review
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• v.1 no.1
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• pp.101-115
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• 1997

This study was designed to examine the socialization of household work utilizing ecological theory. The main purposes were to identify the socialization level, and to predict the socialization of household work in term of the selected variables. The sample was drawn from housewives of expanding stage of family life cycle in Seoul. 518 respondents were analyzed using SPSS/PC+ statistical package. The results of this study were as follows: 1. Among the variables of food area, education of housewife, type of housing, family income, number of children had significant influence. 2. Among the variables of clothing area, family income was the only important variable. 3. Among the variable of housing area, number of household equipment, number of aids for household work, education of housewife, family income, attitude of housewife’s role, number of aids for household work had significant influence. 4. Among the varables of home management area, number of household equipment, family income, self control had significant influence. 5. Among the environment variables of household work, social-cultural environment had the most important effect on the socialization of household work.

• Journal of Family Resource Management and Policy Review
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• v.18 no.1
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• pp.93-114
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• 2014

This study aims to investigate the levels of assets and debts that male- and female-headed households have in comparison to married-couple households. Toward this end, a series of analyses of data from the 2011 Korean Household Finance Survey on the assets and debts of single-parent households are conducted. The empirical results reveal that the amounts of assets and net worth of married-couple households were significantly larger than those of male- and female-headed households. A comparison between male- and female-headed households show that the latter were more likely to hold financial assets such as savings accounts, savings insurance and mutual funds. The amounts of assets of female-headed households were significantly larger than those of male-headed households. Furthermore, the amount of credit card debt in mele-headed households was significantly larger than that in female-headed households.

• Journal of Family Resource Management and Policy Review
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• v.6 no.1
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• pp.35-51
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• 2002

This study is the basic step of including the economical value of household labor into the existing GDP. Therefore this study analyzes statistical data; $\mathbb{\ulcorner}$Economical Active Population Survey$\mathbb{\lrcorner}$, $\mathbb{\ulcorner}$Time Used Survey$\mathbb{\lrcorner}$, $\mathbb{\ulcorner}$Basic Wage Structural Survey$\mathbb{\lrcorner}$, and $\mathbb{\ulcorner}$City Household Survey$\mathbb{\lrcorner}$ for that step and will help people to reconsider the importance of the economical value household work. Economical Active Population Survey classifies housework as economically nonoproductive activity Time Use Survey does not have an clear classification for action. Basic Wage Structural Survey must give subdividable information on wage. City Household Survey should include more details and more data of household durables.