The purpose of this study was to investigate the economic lives of single households with the age of 30 through less than 50. The economic life was examined in three aspects; income, assets, and consumption expenditures and patterns. One hundred sixty single households were surveyed, with questionnaires for 15days from April 1 to April 15 of 2002, and analyzed with descriptive statistics. The results were as follows: about 30.8% of total single households in the sample were in the income group of 1,500,000 thought less than 2,000,000 won. The size of income for the 30's was less than that for the 40's. Compared with male single households, female single households were more in both low and high levels of income. The saving rate tended more or less to be low. The more the age, the higher the saving rate. As for debt, the 40's single households, male single households, high school single households (compared to the 30's single households, female single households, university and graduate single households, respectively) were relatively higher. In general, the single households tended to have debts due to preparation for housing, credit over use. The assets tended to be managed by themselves. The economic preparation for the old life was done by banking system rather than insurance. The average monthly living costs was higher in the age of the 40's single than the age of the 30's single. The living costs of the female single households was higher or lower than those of the male single households. As for consumption patterns, there was the most in the expenditure allocation for food away from home, then for culture entertainmentㆍsocial life, and for clothing and shoes. As for the convenience of the consumption life in overall, there were more responses in moderation and inconvenience than in convenience.
This study analyzed consumption structures of Korean households of 1991, 1993 and 1995 and compared them to those of Japan and US for setting consumption standards. The study also investigated if consumption structures of Korean and Japanese households are different according to their incomes and age of heads. It was found that the shares of the expenditures for food away home personal transportaton and education to total expenditures had been dramatically increased. It was also found that those shares were greater than those o Japanese and US households especially for younger households and households with highest income level.
The purpose of the study was to provide the informations about the economic status of elderly households. Utilizing the 1996 national household data, economic status was investigated by the components of two financial statements: the income and expense statement and the balance sheet statement. Thus it included incomes, consumption, propensity to consume, savings(financial assets), debt amount and net-savings. The elderly households were compared with the nonelderly households. The subgroups of the elderly were also compared. They were divided based on the employment status of the head and household composition. The results showed that the economic status of the elderly was worse compared to the nonelderly. There were also variations among the subgroups of the elderly households. In general, the economic status of retired households and single households were worse than those of employed households and of the households composed of couple and the elderly living with children.
The purposes of this study are to identify the factors affecting asset and debt choice behavior of rural households as well as to examine the differences in asset and debt choice behavior between rural and urban households. The data are taken from Korean Household Panel Study conducted in 1996 by Daewoo Economic Research Institute. Among 2,833, a final sample of 2,625 -537 rural and 2,088 urban sample- is used in this study. The results show that, the asset and debt choice behavior of rural households is totally different from that of urban households. The ratio of rural households holding all types of financial assets and sales credit is less than that of urban households while the ratio of holding real asset and loan is greater in rural than urban households. The most influential variable on the ownership of asset and debt is the age of household head. And there exist interrelationships between ownership of different assets and debts.
The purpose of this study was to examine the relative deprivation of the households in poverty, comparing with the households in non-poverty, and to find out the characteristics of household groups by the level of relative deprivation. The data for this study was from the 6th Korea Welfare Panel Survey(KOWEPS), consisting of total 5,552 households. The results are as follows: There were statistically significant differences in the objective cost of living, the subjective minimum cost of living, and the subjective adequate cost of living between households in poverty and households in non-poverty. There was statistically significant difference in the relative deprivation between households in poverty and households in non-poverty. Poverty was the factor for the relative deprivation of households.
Journal of Family Resource Management and Policy Review
/
v.24
no.1
/
pp.21-39
/
2020
The purposes of this study were to identify the factors that affect the life satisfaction of unmarried one-person households and to examine how these factors influence this population. This study targeted 308 unmarried one-person households. The results found the following: one-person households without marriage experience had higher levels of job stress than one-person households with marriage experience, and the level of differentiation of family projections was lower; the overall level of life satisfaction was higher in one-person households without marriage experience than in one-person households with marriage experience; in one-person households without marriage experience, higher life satisfaction correlated with higher levels of self-integration, family projection processes, and family retirement differentiation, and lower job stress, which was correlated with higher self-control ability, higher evaluation and higher material support; and life satisfaction was found to be higher in unmarried one-person households that received more information and had a lower age, lower job stress, and higher monthly income. This study contributes to the literature in that it explores how marital experience interacts with demographic variables, occupational factors, psychological factors, and social support factors and consequently affects the life satisfaction of unmarried one-person households.
The purpose of the study is to analyze the residential mobility effects and planning discrepancies of home-owning households and renting households. The data for the empirical analysis were collected from 248 units residing in Ulsan and were studied using descriptive statistics, chi-squared tests by cross-tabulation and multiple regressions. The majority of the households did not experience a change in types of housing structure or ownership after the residential mobility. However, the housing size increased after residential mobility, showing that most moves were due to the deficit of housing sizes. In terms of future mobility plans, there were significant differences between home-owning households and renting households. More than two-thirds of the renting households were willing to move within 2-4 years to obtain home ownership. On the other hand, most home-owning households were willing to move for housing size, education of the head, and investment purposes. Compared to the forty-four percent of the home-owning households, seventy-two percent of the renting households were willing to relocate, which shows the effects of unstable housing circumstances.
Journal of Family Resource Management and Policy Review
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v.21
no.2
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pp.25-50
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2017
Recently, concern about family safety is rising again as an important issue with the context of family healthiness and well-being in Korean society despite of the dramatic economic growth. The purpose of this study is to examine the status of family safety of singles and single-parent households and to investigate the effect of social capital on the level of their family safety. Data are from the 10th wave of Korea Welfare Panel Study analysing one-person households(N=2,017) and single-parent households(N=172). One-person households were categorized as three groups by age(the youths/middle-aged/the elderly) and single-parent households were also three by family types(mother-child/fahter-child/grandparent-child). The major results were as follows: First, the mean of family safety index was highest among middle-aged, while single youths had the fewest problems in terms of family safety. Second, social capital was found to vary by family structure. In the one-person households, all the levels of the social capital variables, including trust, bond, acceptance, and participation, differed significantly; only two variables, bond and embracement, differed in the single-parent households. Third, social capital differed between the low-income households and others significantly. Forth, the positive effects of social capital on overcoming family safety problems were investigated. In conclusion, social capital represents an alternative resource for overcoming economic hardship for low-income one-person/single-parent households, especially for middle-aged singles and father-child single-parent households. Based on these empirical results, theoretical implications were discussed with regard to family policy and programs.
The purpose of this study was to analyze the financial portfolios of single-person households. For the analysis, data from the Korean Labor Panel Survey (2021) was utilized, comprising 2,905 single-person households. The major findings are as follows: First, the proportion of households with monthly savings was 32.0%, while the proportion of households holding financial assets was 72.1%. Second, regarding the composition of monthly savings, single-person households predominantly held savings accounts (93.3%), followed by insurance (4.7%), with cumulative funds at a mere 0.8%. The composition of financial assets showed that the majority were in bank deposits (78.5%), followed by risk management assets (18.0%), and investment assets (2.4%). Third, multivariate analysis results revealed that younger age, higher education level, and better financial factors were associated with a higher probability of having monthly savings. The results for financial assets were largely similar, with females showing a higher likelihood of asset possession compared to males. Fourth, the proportions of both bank savings in total savings and insurance generally had opposing effects. Fifth, age group had the greatest influence on the proportions of safety and insurance assets, followed by income group. Middle-aged households had lower proportions of safety assets but higher proportions of insurance assets compared to young households, while the opposite trend was observed for elderly households. Middle-income households had higher proportions of insurance assets compared to low-income households, whereas high-income households had higher proportions of investment assets. Lastly, cluster analysis categorized single-person households' financial portfolios into five groups: Group 1 (32.2%): "Old-Sustain" characterized by insufficient current income but economically stable retirement. Group 2 (29.4%): "Financially Active" engaging in various financial activities due to relatively high education and employment rates. Group 3 (28.0%): "Financially Inactive" classified as elderly groups with minimal financial activities. Group 4 (9.1%): "Risk Financial Structure" consisting of relatively young individuals focused on risk management assets but facing issues in financial asset management due to high-risk assets and financial loans. Group 5 (1.3%): "Stable-Insurance Oriented" with high financial assets and income concentrated in insurance for both savings and financial assets.
This study categorized the households into four by the comparison of wives' and husbands' earned income, such as one with higher wives' income than husbands' in dual-earner households, with higher wives' income than husbands' in household with unemployed husbands, with lower wives' income than husbands' in dual-earner households, and with lower wives' income than husbands' in household with unemployed wives. This study compared and analyzed the objective and subjective economic well-being, and overall satisfaction of life in those households. Major results are below. First, the amount of expenditures, saving, debt were low in one-earner household with employed husbands, but average propensity to expenditure was high in those households. The amount of saving was low in one-earner households with unemployed husbands, but the average propensity to expenditure and debt were high, resulting in the low status of economic well-being. The amount of saving and monetary assets were high, but average propensity to expenditure and debt were low in households in which wives had higher income than husbands, resulting in the high status of economic well-being. Second, husbands' satisfaction for the level of family income was not different among four groups of households. Wives's satisfaction for those was the lowest when wives' income was higher than husbands', but the highest in households with unemployed wives. Wives' and husbands' expectations for the future economic well-being of the households were negative in households with unemployed husbands. On the other hand, the level of satisfaction of wives and husbands for their life was not different among four groups of households. Finally, four groups of households were discriminated by age of husbands, number of children, debt, and wives' expectation for the future economic well-being.
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