• Journal of the Korean Home Economics Association
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• v.38 no.11
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• pp.1-12
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• 2000

The purposes of the study were to investigate the effects of the debt burden which was measured objectively, the types of debts and socio-economic characteristics on the subjective debt burden of households. The questionaires for 457 households who hold some debts were analyzed using t-test, ANOVA and Duncan’s multiple range teat. The major finding are summarized as follows: (1) the objective debt burdens which were measured by three variables, that is monthly debt repayment, the ratio of debt repayment to household income and total debt amount, affected the subjective debt burden. The households in which the monthly debt repayment was over 200 thousand won, the debt repayment was over 20% of the household income and the total debt amount was over 15 minion won felt higher debt burden. (2) the types of debts, which were classified into four groups such as debts from financial institutes, debts from private sources, credit card debts and debt from retailers, influenced differently the subjective debt burden. Holding debts from financial institutes and debts from private sources increased the subjective debt burden whereas holding credit card debts and debt from retailers did not. (3) the level of subjective debt burden were different according to household income, change in income due to IMF crisis, financial assets, home ownership, residence, householder’s age, job and educational levee. Based on the results, criterion for household’s debt management were suggested.

• Journal of the Korean Home Economics Association
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• v.38 no.2
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• pp.65-77
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• 2000

This study investigated the effect of socio-demographic variables and the ownership of asset and the other types of debts on the use of a specific type of household debt. Household debts were categorized into six types according to borrowing sources: debts from banks, other financial institutes, employers, private sources, Gye, and retailers. The 1996 Korean Household Panel Study were analyzed using logistic model. It was found that socio-demographic factors influenced differently on the probabilities of debt holdings according to the types of debt. There were interrelationships among the ownerships of a specific type of debt and other types of debt and asset.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.35-51
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• 1986

The purpose of this study is to establish family life cycle of farm and to analyze changes of economic conditions-income, consumption expenditures, savings, assets, and debts-in farm household according to the family life cycle. Income, consumption expenditures, savings, assets, and debts functions are also estimated by age of household head. The data of Farm Household Economy Survey which was conducted in 1983 by Ministry of Agriculture and Fisheries is used in this study. Among total data of 2000, 1603 are analyzed for mean, percentage, and regression using CRISP Program at Office of Rural Development. The results of study can be summarized as follows; 1) Eight stages of family life cycle of farm are established according to the growth of the first child. They are: Establishment stage, Child bearing and preschool stage, Elementary school stage, Middle and high school stage, College and vocational adjustment stage, Period of children's marriage, Re-adjustment stage, and isorganizing stage. 2) The economic conditions of farm household are significantly fluctuated by family life cycle. Among the eight stages, stage Ⅱ is considered relatively comfortable living period and stage Ⅲ, Ⅳ are the most difficult periods of farm household economy. 3) The estimated functions of income, consumption expenditures, savings, assets, and debts by age of household head are as follows; Y(income) = 2, 354, 832+98,456T-1,036T2(F=11.746) C(consumption expenditures) = 81,876+154,976T-1,552T2 (F=37.272) S(savings) = 2,272,956+56,511T+516T2(F=4.262) D(debts) = 903,929+28,300T-438T2(F=3.339) A(assets) = 200,816+1,213,336T-12,930T2(F=21.069) To carry on a reasonable farm household management, a suitable measure to cope with the desire of family and the economic conditions of farm household should be prepared.

• Journal of Labour Economics
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• v.40 no.1
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• pp.37-68
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• 2017

This study analyzes the relationship between household debts and married female's labor supply. For doing this we construct effective interest rate faced by each household using interest paid amount and household financial debt amount. The effective interests rate for the households which have no financial debt are estimated by Heckman Selection model. The estimation results show that the increase in effective interest rate has led to the expansion of married women's the labor market participation. This suggests a possibility that negative scenarios resulting from an increase in interest rate can be partially offset by an increase in household labor supply and a rise in labor income.

• The Journal of Fisheries Business Administration
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• v.42 no.3
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• pp.95-107
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• 2011

The Comprehensive Measures for a soft landing of Household Debts affecting the credit service of Fisheries Cooperative (FC) have been known to the public in June 2011. Its essential points are as follows: 1) Abolition of Tax-free Regulation, 2) Set limit of loans, etc. per person, 3) Introduce leverage regulations for credit-specialized financial sector i. e. FC, 4) Gradually strengthen loan-loss reserve requirements for card-loan and other credit loans. However, the Financial Policy Measures seem to pay no attention to the Cooperative's Values, Principles and Identity. In this paper, emphasis is be placed on the task of the regulators i. e. Financial Services Commission and Financial Supervice Service to lift the Financial Measures negatively affecting the operation of fund of FCs, and on the establishment of Cooperative identity in order to further develop FCs.

• Journal of the Korean Home Economics Association
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• v.35 no.5
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• pp.1.1-15
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• 1997

The purposes of this study were to identify the household's financial status by life cycle stage and no analyze contributing factors to financial planning for retirement preparation among Korean marred couples. For these purpose, 2074 married couples those being under 55 and having either single earner or dual earners were selected, and total sample was divided into three stages; young-aged(＜35), middle-aged(35-44) & old-aged(45-54). Statistics were frequencies, means, percentile, and logistic analysis. The results were as follows. First, old-aged had higher level of total income, total expenditure and total assets than either young-aged or middle-aged. In addition, households those holding private pensions were likely to have higher total income, total expenditure and total assets than those owning no private pension. while middle-aged had a highest total debts. Second, gini coefficients of total income and total expenditure between three aged groups were similar, but old-aged had the highest gini coefficient of total assets and total debts. In particular, gini coefficients of total assets and total debts of households those having no private pension were greater than those holding private pensions. third, contributing factors to private pension ownership of young-aged were family & household-related factor and financial factor, middle-aged's factors were household head's characteristics and financial factor. Also, old-aged's factors were household head's characteristics, family & household-related factor and financial factor.

• Journal of Family Resource Management and Policy Review
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• v.18 no.1
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• pp.93-114
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• 2014

This study aims to investigate the levels of assets and debts that male- and female-headed households have in comparison to married-couple households. Toward this end, a series of analyses of data from the 2011 Korean Household Finance Survey on the assets and debts of single-parent households are conducted. The empirical results reveal that the amounts of assets and net worth of married-couple households were significantly larger than those of male- and female-headed households. A comparison between male- and female-headed households show that the latter were more likely to hold financial assets such as savings accounts, savings insurance and mutual funds. The amounts of assets of female-headed households were significantly larger than those of male-headed households. Furthermore, the amount of credit card debt in mele-headed households was significantly larger than that in female-headed households.

• 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.

• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.21-32
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• 2000

This study investigated the effect of householder's occupation on the debt structures of households. Household debts were categorized into six types according to borrowing sources: debts from banks, other financial institutes, employers, private sources, Gye, and retailers. Householder's occupations were classified into four groups: full-time employees, employers, farmers & fishermen, and part-time employees. The data came from the 1996 Korean Household Panel Study. It was found that the rates of holding each types of debt and the debt amounts were different according to householder's occupation. The human and economic resources to overcome the possible household debt problems were also different by the householder's occupation.

• Journal of Families and Better Life
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• v.21 no.2
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• pp.201-212
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• 2003

This study analyzed the objective indicators of household economic structures, such as income, expenditure, and debts, as well as a subjective evaluation of economic standards, and compared the households of commuting couples (so called Weekend couples) with those of non-commuting couples. Findings of this study are as follows. First, both husbands and wives in commuter marriages had a higher level of education, were younger, had poorer health, and had shorter working hours than the couples in non-commuter marriages. Second, commuting couples had a significantly higher income than non-commuting couples. In addition, commuting couples had a greater amount of savings, had a higher cost of living, and lower debts than non-commuting couples. Third, commuting couples evaluated their status of household economy more negatively than non-commuting couples. Despite the fact that the commuting couples were more affluent in terms of the objective indicators, including income, savings, and assets, their level of health and psychological well-being were compromised. Lastly, factors determining commuter marriages were the number of years the husband has spent in his job, and the husband's level of education. The shorter the tenure of the husband's job, and the higher the level of husband's education, the more likely the couple was in a commuter marriage.