• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.73-84
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• 1995

The objective of this thesis is to analyse empirically the economic resource problems of the rural poor households. Data from 444 rural sample households in four provinces, divided into two subgroups, the poor and the non-poor households, were analysed and compared. The owned arable land size, level of agricultural and non-agricultural income, assets, debts and the sufficiency of living expenses of the poor households were measured and compared with those of non-poor households respectively. The significant findings and drawn conclusions are as follows : The rural poor households 1. tends to show smaller family size, older age and lower level of education of homemakers than the non-poor households, that might work as constraints to income sources and quality. 2. has not only small arable lands and agricultural income but also even smaller cash income, less than 50% of total income, with 27% of self-product consumption and depends more on non-agricultural income than the non-poor households. Such weakness of income structure might cause and increase the income instability of the rural poor households. 3. reveals significantly different level and components of assets from the non-poor households lower level of assets, less amounts of but more load of debt due to lower solvency that comes from low level of income and assets, higher debts for consumption and lower accessibility to credit. All these socio-demographic and economic characteristics of the rural poor households might have compound effects on the economic problems of the poor households and make vicious circle of poor.

• Journal of Families and Better Life
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• v.20 no.5
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• pp.87-98
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• 2002

The purpose of this study is to investigate the effects of wife's employment status on the household expenditures of timesaving market substitutes for houseworks. Seven expenditure categories were considered such as food away from home, convenient/prepared food, housing care service, clothing care service, childcare, supplemental education, and domestic services. The data were taken from 1999 Family Expenditure Survey by National Statistical Office. The sample consisted of 29,963 households with 33.2% dual-income households. The average monthly expenditure for food away from home was 127,795 won for dual-income households, while 103.100 won for single-income households. The expenditure for childcare of dual-income households was over six times of single-income households'. Dual-income households spent over ten times of single-income households for domestic services. For most expenditure categories, households with wife working at white-color jobs spent more than other dual-income households. After being other household characteristics to be constant, wife's occupation had found to be related with the household expenditures for most market substitutes. For the expenditures on both food away from home and childcare, employed-wife households with any kind of jobs were found to have higher possibility to spend and to be spent more than non-employed-wife households. The households with wife employed at white-color jobs spent more on clothing care service and domestic services than the households with the not working. Employed-wife households had higher possibility to spend on supplemental education, but they did not spend more on the expenditure, compared to nonemployed-wife households.

• Journal of Families and Better Life
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• v.20 no.2
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• pp.113-122
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• 2002

This study compared the financial status between the employed-elderly households and the unemployed-elderly households, focused on income adequacy, expenditure adequacy and net wealth adequacy. Using data from 1997 KHPS, the lower financial status of the unemployed elderly households were found. Nine measures of financial status were used : income, per capita income, income-to-needs ratio, expenditure, per capita expenditure, expenditure-to-needs ratio, net wealth, net wealth-to-income ratio and net wealth- to-expenditure ratio. The results of this study showed that unemployed elderly households had 68%~77% of income adequacy and 72%~83% of expenditure adequacy for employed elderly households. Holding for gender, age, education, earners in the household, living area and home ownership constant, although the gap was getting smaller, significant differences between the unemployed-elderly households and the employed-elderly households were persisted. The result of this study indicated that the unemployed-elderly households and the employed-elderly households can not be regarded ac homogeneous group when public policies are developed.

• Human Ecology Research
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• v.56 no.2
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• pp.175-193
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• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Analyses & Alternatives
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• v.4 no.1
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• pp.105-123
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• 2020

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).

• Journal of the Korean housing association
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• v.26 no.5
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• pp.79-87
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• 2015

This study explored low-income households' experiences and perception of home energy cost burdens and determinants of the perceived home energy cost burdens. Between March and July 2014, a questionnaire survey was administered in Cheongju, South Korea. Among the 434 useable responses collected, responses from 218 households with monthly income less than 2,500,000 Korean Won (KRW) were compared with those of 216 households with higher incomes. The main findings are as follows. In the past three years, more than 10 percent of low-income households had had their electricity cut off; 5.7 percent had had their city gas cut off. To pay for their home energy expenses, nearly 70 percent of the low-income households had had to limit their heating, cooling or spending for other necessities; 38.3 percent had to borrow money. Low-income households reported more problems paying for home energy than higher-income households did. Households with more negative evaluation of rainwater leak, no one staying at home all day, monthly income less than 1,500,000 KRW and householders in their 40s and 50s tended to perceive a heavier home energy cost burden. Finally, the most popular support programs were fuel assistance and discounts on energy bills.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.49-57
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• 2018

This study aims to identify the inequalities and characteristics of health care expenditure of the elderly and non-elderly households by income level. As a result, health care expenditure of elderly households was statistically significantly higher than that of non-elderly households. As a result of calculating the concentration index of health care expenditure by income level, inequality was higher in order of non-elderly households, elderly households, and total households. In order to confirm the effect of health expenditure on household income inequality, we calculated the concentration index of income excluding total health care expenditure from total income. As a result, inequality was higher in order of elderly households, whole households, and non-elderly households. There was not much difference in inequality of health care expenditure among elderly households and non-elderly households. And, the health care expenditure of elderly households was much higher than that of non-elderly households. Also, inequality of health care expenditure by income group was serious. There should be no cases where the medical care support policy for elderly households can not use necessary medical services.

• Korean Journal of Human Ecology
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• v.13 no.3
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• pp.441-451
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• 2004

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.

• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.165-172
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• 2018

This study was conducted to investigate the relationship between life satisfaction of the elderly and their transfer income (public transfer and private transfer income) using the 11th data of the Korea welfare panel study. In the analysis results, the public transfer income was analyzed to have a significantly positive (+) effect on the life satisfaction in the case of the elderly in general households while in the case of the elderly in low income households, private transfer income was analyzed to have a significantly positive (+) effect on life satisfaction. These results suggest that the public transfer income is 1,019,200 won (monthly average 849,000 won) in the case of the elderly in general households, and the public transfer income is found to have an effect to stabilize the income, which can be expected to increase the life satisfaction. However, in the case of the elderly in low income households, it was found to be 5,080,500 won (monthly average 424,000 won), half of the public transfer income of the elderly in general households. In the case of the elderly of low income households, it can be assumed that the private transfer income, which is the "uncomfortable" income source, fills up the unstable income stabilization gap and raises the life satisfaction. As a policy suggestion, first, by supplementing the basic pension system, which is an irrational part of public transfer income for the elderly with low income, it is necessary to design policy alternatives to enable economic stabilization of the elderly in low income households. Second, it is also necessary to actively review the introduction of income deduction plans for the transfer income of family members for the low income elderly households.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.135-159
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• 2010

The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.