• Journal of Family Resource Management and Policy Review
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• v.11 no.3
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• pp.45-65
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• 2007

The purpose of this study was to analyze the life satisfaction of a single household head. This study examined the life satisfaction level of the single household head and analyzed the contributing factors. Data for this study were from the 7th KLIPS (7th Korea Labor and Income Panel Study), and the sample. consisted of 241 single household heads (including 83 male household single heads and 158 female single household heads). The statistics used for the analysis were frequencies, percentile, means, standardization, ANOVA, and multiple regression. The results were as follows. First, 53% of the household heads were due to their spouses' death, 34% of the household heads were single due to divorce, and 13% were single for other reasons. The average age of a single household head was 51 years, and the average education level of a single household head was 9.7 years and 70% of the single household heads were employed. Approximately 46% of the single household heads lived in small-and medium-sized cities. Second, the level of satisfaction with income, leisure, and residence of the single household head was lower than the middle level (3.0 points), while the level of satisfaction with family relationships, relatives, and social relationships was higher than the middle level (3.0 points). Third, there were differences in the life satisfaction level of single household heads in accordance with the single household head's marriage status, residence, recognition of health status, and current financial situation. Finally, significant variables contributing to the life satisfaction level of the single household head were gender, educational level, residence, monthly total income, satisfaction level of leisure, and family relationships. The most influential variable was the residence.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Journal of Families and Better Life
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• v.27 no.1
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• pp.1-16
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• 2009

Using the 2007 Fund Investors Survey, we investigated (1) the differences in economic status in terms of household income, consumption, saving, assets and debts, (2) the differences in financial management behavior, (3) and the differences in confidence in economic status after retirement between households conducting and not-conducting financial preparation for retirement. The major study findings were as follows. First, only 46.4% of the households were financially preparing for retirement. The levels of income, consumption, and saving were higher among households conducting financial preparation for retirement than among those not-conducting such financial preparation. Second, households conducting financial preparation for retirement had a relatively high propensity to save. Their financial asset portfolio had a higher weight in safety assets and investment assets than in retirement assets. Due to their lack of confidence in their economic status after retirement, their demand for financial preparation for retirement remained. Third, the households which did not conduct financial preparation for retirement tended to have a relatively heavy debt burden and not to implement general household financial management practices. Fourth, among the three-pillar retirement income system, the second pillar, of individual retirement account was not well established. Based on these results, various implications were suggested.

• Journal of Families and Better Life
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• v.17 no.1
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• pp.121-138
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• 1999

The purpose of this study were to identify the factors related to the changes of family total income total expenditures housing maintenance costs food expenditures and clothing expenditure, The data used for these purposes was collected from housewives living in jeonbuk area by questionaire in May 1998. Sample size of this data was 341 households. Statistics performed for the analysis were frequencies percentage means and multiple regression analysis. The results of this study were as follows; First monthly income decreased by 370,000 won than last year. The variables contributing to decreasing income were job type of household head and educational attainment of housewives the amount of total family current income total household expenditure and the perception of economic status. Second monthly expenditure decreased by 24,000 won than last year. The variables related to decreasing expenditure were educational attainment of housewives and the perception of economic stats. Third the variables related to their total household change were job type of household head number of family current household expenditure and the perception of economic status. finally the variables associated with total satisfaciotn of family life were the amount of leisure time the perception of economic attainment the confirmity of family and the amount of current household expenditure.

• Journal of the Korean Home Economics Association
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• v.37 no.4
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• pp.71-84
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• 1999

The purpose of this study is to examine the relationships among selected socioeconomic variables(age, household income, education duration; perceived income adequacy, gap between living standards and level), financial management and financial satisfaction. The sample size is 298 interviewee, and the unit of analysis is household in Seoul. Results of the study indicate that perceived income adequacy is significantly related to financial management. And perceived income adequacy, household income, gap between living standards and level, and age are significantly related to financial satisfaction. Although perceived income has an indirect effect on financial through financial management, but indirect effect is too small, financial management is not examined as intervening variable.

• Journal of Labour Economics
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• v.37 no.3
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• pp.1-44
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• 2014

This paper investigates the effect of household formation on the mapping from wage inequality to income inequality, which usually is smaller than the former. Added workers, income pooling among household members, and shared consumption are the factors that make income distribution less inequal than wage distribution, and the effect of income pooling appears to be the greatest. This suggests than the increase in nuclear families and the resulting increase of old families have a potential effect of worsening income inequality at the absence of sufficient private income transfers among the two households. A simple counter-factual estimate indicates that income pooling among the children's and parents' households can efficiently and sizeably reduce income inequality.

• Science of Emotion and Sensibility
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• v.26 no.1
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• pp.3-16
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• 2023

This study investigated how COVID-19 imparted the fashion expenditure of households in Korea. During the COVID-19 pandemic, the ratio of fashion expenditure to household income and the ratio of fashion expenditure to household consumption expenditure were estimated using secondary data of national statistics. The household income and expenditure data in Korea were extracted from 2018 to 2021. The household was categorized by generations such as gen Z, gen M, gen X, Baby Boomer, and Silent generation, and the household income status was identified by the income quintile. The outcome revealed that the ratio of fashion usage expenditure to income decreased following COVID-19 equated to before COVID-19 and revealed the significant differences by income quintile. The ratio of fashion consumption to household expenditure significantly differed between the pre-COVID-19 and the post-COVID-19. The difference in the ratio of fashion consumption to household expenditure was important by generations, and it was not affirmed by the income quintile.

• Korean Journal of Child Studies
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• v.37 no.2
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• pp.27-42
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• 2016

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 Journal of Fisheries Business Administration
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• v.54 no.2
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• pp.77-90
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• 2023

This study employed the Gini coefficient decomposition analysis to classify and examine fishery household income inequality according to income sources. The raw data from the Fisheries Economic Survey by the National Statistical Office were used for the analysis after equalization according to the recommended method of the OECD. In particular, the Gini coefficient was decomposed by classifying with and without public subsidies, and the contribution, correlation, and marginal effect by income source were presented.As a result of the analysis, the inequality of fishing income and non-fishing income of fishermen was worsening, and the inequality of transfer income was continuously easing. Among them, fisheries subsidies have been analyzed to have the greatest contribution to the Gini coefficient of gross income and the highest relative marginal effect, although distribution inequality has been alleviated. On the other hand, other subsidies, including public pensions, were found to have the opposite contribution, correlation, and marginal effect to fisheries subsidies. The results of this analysis showed that even within public subsidies, the contribution to income redistribution might differ depending on the nature of the subsidy. In addition, in the case of other public subsidies, it can be seen that the transition from selective welfare to universal welfare occurs.

• Journal of Family Resource Management and Policy Review
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• v.9 no.3
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• pp.17-29
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• 2005

The purpose of this study is to identify the characteristics of the household labors that are performed by dual income families. The methodology that has been applied in this study was a qualitative research based on in-depth interviews of a total of 10 people(8 housewives, 2 husbands) selected from the 8 different families. The 8 different families have been selected in order to identify the different family lives and the various household labor patterns that are conducted by both the working husband and the working wife. As a result, we have found out that working wives still had to manage their time in an extremely busy manner in order to balance their professional work with their household tasks. However, the household work that was being shared by the husbands also seemed to vary dynamically according to the different family situations. Although, it has shown that household tasks are divided by the person's sex, the amount of household tasks that are shared tended to increase according to the life cycle of each family.