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.
This research was conducted for the analysis the middle-old aged empty nest households' debt holdings and their financial status(emergency fund index, liquidity index, debt burden index) considering the level of income and assets. In order to accomplish this study, we made use of the KReIS third beta-version data. The results of the analysis were as follows. First, in all income asset groups there were more non-debts holding houses compared to debt holding houses. Moreover in debts holding houses, compared to other groups high income high assets groups were more. Second, the households that possessed more assets, had more debts. Third, the financial status of the households holding debts were more vulnerable compared to households that had no debts. Moreover, all income asset groups' emergency fund index were low. Households having no debts possessed low real assets and so the liquidity index was higher in holding debts households. In holding debts households, debt burden index was high. And especially these houses suffered from high debt burden when their income and asset were low.
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 analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).
This study was to compare the financial status between elderly households - retired vs employed. The sample obtained from 1994 KHPS, and consisted of 628 Korean aged households who are currently married. Statistics employed to analyze the data are mean, frequency, percentile, t-test, and relative-ratio. The results of this study were as follows ; In income sources, earned income was majority of employed households, but the percent of unearned income was greater than retired households. While the percent of cloth, education, recreation expenditures were high in employed, and medical, housing expenditures wee high percentage in retired. The percentage of real asset(housing) was majority of total asset in two groups. And the percentage of safe liquid asset of retired households was relatively higher than employed households.
The purpose of this study is to investigate the effect of increased debt on the incidence of domestic violence over the two-year interval 2014-2016. To investigate Korean low-income households with economic hardships, we analyzed the 9th and the 11th waves of the Korea Welfare Panel Study, which is jointly sponsored by the Korea Institute for Health and Social Affairs and the Institute of Social welfare, Seoul National University. The study analysis was based on data from 2,786 households with less than 60% of median income. The main study findings are as follows. First, increases in economic hardships incur domestic violence for low-income households, while increases in low-interest debt decrease the incidence of the domestic violence when controlling for economic hardships. All other things being equal, economic hardship works as a stressor and low-interest debt works as an alleviator influencing domestic violence. Second, when low-income households are experiencing economic hardships, low-interest debt fails to work as an alleviator. Under this circumstance, high-interest debt actually acts as a stressor influencing domestic violence. Thus, we can speculate that use of debt under economic hardships will occur domestic violence for low-income households. This study differs from previous studies in that it examines the effect of increase in debt on the incidence of the domestic violence across different types of debt: low interest, high interest, and credit card. We can conclude that debt can function as a stressor or an alleviator for low-income households, depending on the interest rate and the households' financial situation.
This study reviewed the consumption patterns of high-income households and analyzed the ratio of major 6 expenditure categories including food at home, food away from horne, education, clothing, entertainment, and housing expenditure to total expenditure. We employed data from two different years (1997 and 1998) so that we could investigate the influence of the economy depression on the patterns and items ratio of consumption, For this purpose, the Daewoo Panel data were used. Also, data analysis was done with descriptive statistics, t-test, and regression analysis. The regression analyses were used to investigate the determinants of the high-income households' consumption patterns. The results of this study showed that food away from home, among 6 consumption items, seemed to be significantly affected by the depression, but still high-income households seemed not to lessen education expense. We included independent variables such as age, income, job, gender, debts and the likes. It was found that the age of reference person affected the amount of expenses for food, clothing, and entertainment. Other independent variables influenced different consumption categories. The results of this study would be useful for marketing strategies of fashion industries.
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.
The main objective of this study is to explain the differences in intergenerational resource transfers among the middle-aged at various income levels. Analyses of data on financial resource transfers from the 2nd wave of the Korean Retirement and Income Study were conducted. The study sample consisted of 931 middle-aged individuals who had at least one living parent and one child. The data analysis methods were ${\chi}^2$ analysis, one-way analysis of variance(ANOVA), logistic regression analysis, and multiple regression analysis. Financial resource transfers are statistically significant factors explaining the preparation for later life and life satisfaction of middle-aged individuals. The empirical results reveal that the frequency of intergenerational financial transfers was significantly higher in high-income households than in middle- and low- income households. A comparison of high-, middle- and low-income households shows that financial resource transfers had a greater influence on the preparation for later life and life satisfaction of the middle-aged in middle-income households than in low- or high-income households. The level of life satisfaction was dependent upon to whom middle-aged individuals gave financial resources. In the middle-income group, the middle-aged who gave financial resources to their parents were more likely to have higher life satisfaction than those who did not. Receiving financial transfers from parents or children did not have a statistically significant impact on the life satisfaction of the middle-aged in any income-level group.
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.
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