• The Korean Journal of Community Living Science
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• v.14 no.1
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• pp.55-71
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• 2003

The purpose of this study was to evaluate the financial status of single mother households by financial ratios. Data was drawn from Labor Panel Survey Data in 1999, and 198 single mother households were selected. Major findings were as follows: 1) The levels of after-tax income, income per person, expenditure, expenditure per person, asset, pure asset, and debt of single mother households were lower than their counter-parts. 2) All financial ratios showed that both financial security and financial growth of single mother households were lower than their counter-parts. Especially, 22% of single mother households had the lower level of income that the lowest cost of living.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.297-307
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• 2009

Korean household debt is one of the main sources of the current financial crisis. This paper studies the impact of household members' attributes such as a type of housing(self-own or rent), education, age, average monthly income of the head of household, and the area of residence, on the stress level of the household members due to household debt. We analyze a real data set collected by KB Kookmin Bank in 2004. We consider low and high stress level as a binary response variable and use a logistic regression model with the attributes of household members as explanatory variables. A simple but well-fitting model is selected by backward elimination method based on the likelihood statistic for goodness-of-fit test, and the impact of the attributes on the stress level is studied from parameter estimates of the selected model. We also perform the similar analysis on a binary response variable which distinguishes households with no debt from the rest. From the analysis, the stress level tends to be low for households with self-own houses, high average monthly income, low education level, and young members.

• 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 Digital Convergence
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• v.14 no.5
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• pp.177-183
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• 2016

The purpose of this study is to analyze the affecting factors and debt characteristics with household debt. The method of analysis was used SPSS 22.0. The main results were as follows. First, psychological debt burden group were found to be lower academic background, more household members, job in agriculture, forestry and fisheries and women among demographic characteristics. This suggests the need for the governments who are interested in the risk from household debt. Second, psychological debt burden group showed higher level of debt and average monthly debt repayments. This study implies that it is necessary to do financial education and consulting. Third, psychological debt burden group seemed that the households with more the average monthly interest payments and repayments on income, the more total liabilities compared to total assets. As the ages get higher, it was gradually increased. It suggests that the development of psychological counseling program for debtor with household debt. Other factors(property prices or the financial environments) will be dealt with in the subsequent studies.

• Korean Journal of Human Ecology
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• v.14 no.4
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• pp.613-629
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• 2005

This research analyzes household financial structures and ratios to understand factors of household utility. Its main themes are as following: First, what kinds financial structures are found at each level of income? Second, how are they different by the level of income? Third, what factors contribute to appropriate financial ratios? The themes are supported by the texts on financial ratios from both inside and outside of Korea and proved by the Korean Labor and Income Panel Survey, the fifth annual edition. The households are exempted that do not support the household principle record in the principle and household economy record. Accordingly, this survey is from a financial structure analysis of 3,762 households. The analysis utilizes SPSS Window (Version 10.0) program. The following are the results: First, the income level 4 and above, in which the increasing number indicates a higher level of income, are highly ranked on the income-expense level and the asset-debt rate. Also, level 4 has a strong financial structure, whereas level 1 does not. Apparently, the management of the household is complicated by debt redemption and a lower level of assets. Second, Ratio 1, Ratio 2, Ratio 4, and Ratio 5 are different by the level of income. Third, the level of income contributes to the appropriate financial ratio. The financial safety and prospective financial structure at each income level is an important variable. Households with a high income, in particular, have to balance their finances and capital, reducing liabilities and increasing the total assets. In other words, the family must hold assets to enhance efficiency according to the character and income level of the household. This research is a useful resource for such a decision-making as to improve household financial structure stability. Also, it can be adopted to evaluate financial products for specific households and be used for economic and social welfare planning to predict how households influence the nationwide economy.

• 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.

• Journal of Family Resource Management and Policy Review
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• v.23 no.2
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• pp.99-115
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• 2019

This study examined the insolvency likelihood of young debtors from the 2018 Household Financial and Welfare Survey. This study used the Household Default Risk Index (HDRI), which considers the ratio of total debt to total assets (DTA), and a total debt service ratio (DSR) to examine the insolvency level of debtors. The descriptive analyses showed no difference in frequency of households with a high probability of insolvency between those less than 35 years of age and those over 35 years of age. However, the median HDRI value for those less than 35 years of age was higher than those over 35 years of age. The multivariate analyses indicated that educational expenses for young Korean debtors was a factor that increased their probability of insolvency, while income was the only variable that decreased their insolvency likelihood.

• The Korean Journal of Community Living Science
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• v.12 no.2
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• pp.47-59
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• 2001

The purpose of this study was to examine the factors affecting financial satisfaction of rural housewives. Data for this study were collected from 202 households living in 8 provinces. The results were as follows; 1) The most frequent financial problems experienced from expenditures on clothes(82.1%), lack of expense for social intercourse (61.47), and difficulty in purchasing durable goods(60.1%) in the order. 2) 44.6% of the respondents said they were satisfied with their net worth, and 21.6% of them confessed they had difficulties in debt redemption while 52.5% of them said they felt pressure about monthly payments of installments, which reveals that farm households find it hard to pay back short-term debt. 3) The path analysis was adopted to see the causal relations among the variables influenced the financial satisfaction. The variables of experiences of economic problems, educational background(graduated from middle school), saving, income, and age appeared to be important in the order of effectiveness. Among them, the variables of saying and experiences of economic problems showed a direct effect, and those of age and saving displayed an indirect effect with the experiences of economic problems as the parameter. From this findings, it is suggested that rural extension workers and educators should emphasize the importance of the financial plan in their educational programs.

• The Korean Journal of Community Living Science
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• v.21 no.1
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• pp.91-103
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• 2010

The purpose of this study was to find the differences of household characteristics between homeowners and renters. The data was drawn from the 2002 Korean Labor and Income Panel Study and conducted by the Korea Labor Institute. 3,743 households were selected. The householder's mean age of homeowners was found to be 8 years older than those of renters, and the households in Seoul showed a higher rent ratio than those in other areas. The levels of household financial elements for homeowners were found to be higher than those of renters. Moreover, the levels of total real estate assets for homeowners were higher than those for renters, and the levels of total debt, and the debt from financial institutes were also higher than those for renters, reflecting that most Korean households may use loans from financial institutes for holding real estate assets. The results of the Chow-test showed that the group of homeowners and renters were significantly different in terms of socio-demographic and financial factors affecting the ratio of real estate assets to total asset.

• International Journal of Human Ecology
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• v.1 no.1
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• pp.79-93
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• 2000

Using the 1995 Survey of Consumer Finances, this study investigates how family life-cycle stages and financial management practices affect household saving. First findings are that household income and householders education, race and ethnicity have significant effects on saving. Second, regarding the effect of the family life-cycle stages, younger married couples without children, middle pre-retired households without dependent children, and older households without dependent children are more likely to save than other similar households in the life-cycle stage of younger single households. Third, households with longer financial planning horizons, saving goals for retirement, purchase of durable goods and emergency goods, and low credit card debt are more likely to save. Based on the results, implications for financial management education and public policy are suggested.