• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.535-543
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• 2019

This study was conducted to find a pathway from the general government debt to GDP ratio(GDR) to the age standardized Suicide Rate(suicide rate). The variables used in this study are GDR, the consumer price index for living necessaries(CPIL), the household debt to GDP ratio(Household Debt), and suicide rate. The data used in this study were standardized data from 2001 to 2015 of Korean Statistical Information Service(KOSIS) and the path analysis was performed using the analysis IBM SPSS 22 and Amos. As a result of the path analysis, the path of GDR-CPIL-Household Debt-Suicide rate, and the direct of effect were in order 0.954, 0.904 and 0.675 were confirmed. The indirect effect of GDR on Household Debt is 0.862, GDR on Sucide Rate is 0.581, CPIL on Suicide Rate is 0.610. Neither of these indirect effect coefficient was significant(p>0.05).

• Journal of Families and Better Life
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• v.13 no.1
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• pp.207-219
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• 1995

본 연구는 우리나라 도시가계의 부채보유여부 및 부채부담의 관련요인을 규명하고자 하였다. 분석을 위하여 국민은행이 실시한 1990년도 가계금융이용실태조사 자료를 이용하였다. 부채보유여부의 관련요인분석을 위하여 로짓분석을 사용하였으며, 월평균가계소득에 대한 월평균부채상환액의 비율로 측정된 부채부담에 대한 관련요인의 분석을 위하여는 회귀분석을 사용하였다. 주요 연구결과는 다음과 같다. (1) 도시가계의 부채보유비율은 38.2%였고, 부채를 보유할 확률은 가계속득, 금융자산, 주택소유여부, 가구주 연령과 유의한 상관관계가 있었다. (2) 부채보유가구의 평균부채부담율은 33.99%였고, 부채부담은 가계소득, 금융자산, 부채원 수, 가구주 직업 및 거주지역과 유의한 상관관계가 있는 것으로 나타났다.

• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.225-240
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• 2012

The purpose of this study was to investigate the determinants of households with risky debt loads. The study used financial ratios to determine which households were over-indebted. The 3 ratios used were Debt to Asset ratio, Debt to Financial asset ratio, and Debt Service ratio. Data for this study was the 2011 Survey of Household Finance. Households that demonstrated total debts of 70% or more when compared to total assets were 8.8%. Households that demonstrated a debt load totaling 5 or more times their total financial assets were 19%. Households with monthly repayment obligations of 40% or more of disposable income were 20%. Households that fulfilled all 3 financial ratio criteria were 1.5% of total indebted households. Over-indebted households demonstrated severe economic condition in terms of debt, but not all over-indebted households were categorized as being in economically vulnerable group. The major determinants of households with risky debts were income, asset, purpose of loans, and spending behavior of the households.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.145-158
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• 2017

Lately, rapid increase of household debt and economic change has affected cash flow of household, insolvent risk has increased by high repayment burden of the principal and interest. Previous researches was progressing various discussion, composed objective repayment burden index about household debt. But it was relatively insufficient about perception of consumer. This research compare and analysis determinants of subjective repayment burden in household debt by income quintile, using 2016 Household Financial Welfare Survey. The research result is follows. The income 1 and 2 quartile groups have the higher monthly rent and credit card loan and the housing preparation loan ratio, the higher burden on repayment of the principal and interest. The Income 3 and 4 quartile groups have the higher 60s or older and member of household and real estate mortgage loan, the higher burden on repayment of the principal and interest. The Income 5 quartile group has the higher loan ratio for debt repayment preparation, the higher burden on repayment of the principal and interest.

• Korean Journal of Social Welfare
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• v.69 no.2
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• pp.171-190
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• 2017

This study examined the impact of indebtedness on depressive symptoms and suicidal ideation. The data came from the 4th to 10th waves of the Korea Welfare Panel Study, collected from 2009 to 2015. Analyses were conducted using logistic regression for longitudinal data that combines the fixed effects and random effects approaches. The results show that a high level of indebtedness substantially increased the risk of depressive symptoms. The household leverage ratio-the ratio of total household debt to disposable personal income-of 400% or higher increased the odds of probable depression by 50% compared with the ratio under 100%. When the percentage of personal income that goes toward paying debt is 30% or higher, the odds of probable depression went up by 66% than when the percentage of debt payment of disposal income is under 10%. The findings suggest that debt relief agencies and their programs need to incorporate means to identify and address emotional stress related to the excessive debt. This study also contributed to enriching the literature on social determinants of health by demonstrating that indebtedness is an important socioeconomic characteristic affecting individuals' mental health.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.1-34
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• 2010

We conduct a comprehensive risk analysis of household debt in Korea for the first time using the whole sample credit bureau (CB) data of 2.2 million individual debtors. After analysing debt service capacity profiles of debtor groups classified by the borrower characteristics such as income, age, occupation, credit scoring, and the type of creditor business companies, we investigate the impact of interest rate and income changes on debt service-to-income ratios (DTIs) and default rates of respective debtor groups. Empirical results indicate that debt service burdens are relatively high for low income wage earners, high income self-employed, low income capital and card loan holders, and high income mutual savings loan holders. We also find that debtors from multiple financial companies are particularly weak in their debt service capacity. The scenario analysis indicates that financial companies, with the current level of capital buffers, may be able to absorb negative consequences arising from the increase in DTIs and loan default rates if the interest rate and income changes remain modest. However, the negative consequences may fall disproportionately on non-bank financial companies such as capital, credit card, and mutual savings banks, whose debtors' DTIs are already high. We also find that the refinancing risk of household debt is relatively high in Korea as more than half of household mortgage debts are bullet loans. As the DTIs of mortgage loan holders are already high, under the current DTI regulation, mortgage loans may not be readily refinanced especially when the interest rate rises. Disruptions in mortgage loan refinancing may put downward pressure on housing prices, which may in turn magnify refinancing risk under the current loan-to-value (LTV) regulation. Overall our analysis suggests that, for more effective monitoring of household debt risk, it is necessary to combine existing surveillance schemes based on macro aggregate indicators with more comprehensive and detailed risk analyses based on micro individual data.

• Journal of Family Resource Management and Policy Review
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• v.7 no.2
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• pp.45-57
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• 2003

This study analyzed the differences in household debt characteristics by wealth levels. The dataset used was the 2000 National Survey of Family Income and Expenditure. The major findings of this study were as follows; First, about 49% of sample owned some amounts of debt. Household in high wealth levels had lowest debt burden while households in low wealth level had highest debt burden. Second, the amounts of debt owed to financial agents were highest regardless of wealth levels. Third, all groups borrowed money for the purpose of purchasing real estate.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.63-78
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• 2018

This study examined the insolvency of debtors using multiple-indicator approaches and compared the outcomes across income levels with the 2016 'Household Financial and Welfare Survey'. This study used (1) the total debt to total assets ratio (DTA), (2) the total debt service ratio (DSR), and (3) the Household Default Risk Index (HDRI) recently developed by the Bank of Korea. Households in the lowest income quintile were more likely to be insolvent than any other income group. Demographics, such as age and gender of the household head, and most of the financial variables significantly increased the likelihood of insolvency based on the DTA. The number of household members and job status increased the likelihood of insolvency based on the DSR. Also, age, gender of the household head, and most of the financial variables increased the likelihood of household insolvency based on the HDRI after controlling for other demographics and financial variables.

• 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.

• Journal of the Korean Home Economics Association
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• v.41 no.1
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• pp.39-58
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• 2003

This study investigated the effects of the householder's age as a proxy for the family life cycle stage variable and the householder's occupation on the household financial structures. Household financial structures are analyzed by the components of two financial statements(the income and expense statement and the balance sheet statement) and selected financial ratios. The data came from the 1998 Korean Household Panel Study. It was found that the age profiles of household finances such as household income, expenditure, savings and consumption rate, financial assets, real assets and home ownership, debt and net worth usually vary according the householder's occupation. The ratios of debt repayment and the liquidity ratios also vary in part as age changes for each occupational group.