• 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.

• Journal of Families and Better Life
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• v.12 no.1
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• pp.62-71
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• 1994

본 연구는 가계의 저축운용형태에 따라 가계저축유형을 분류하며 또한 각 저축유형 의 결정요인을 규명하고자 하였다. 분석을 위하여 국민은행이 실시한 1990년도 가계금융이 용실태조사 자료를 이용하였다. 군집분석에 의해 가계저축의 유형을 분류하였으며 가계저축 유형에 대한 결정요인을 찾기 위하여 로짓분석을 사용하였다. 가계적축은 상이한 5개의 유 형으로 분류하였으며 각 유형은 그에 해당하는 가계 저축행태의 특징에 근거하여 수익추구형, 안전지향형, 지역밀착형, 인간관계중시형 및 유비무환형으로 명명하였다. 가계저축유형별 결정요인을 유형에 따라 다소 차이를 보였으나 가계소득, 가구주의 직업, 가구주의 학력이 가장 중요한 결정요인 것으로 나타났다.

• The Korean Journal of Applied Statistics
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• v.26 no.3
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• pp.375-387
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• 2013

Unit non-response of surveys reduces the efficiency of the estimates and also causes non-response bias especially when there is large difference between respondents and non-respondents. Non-response weighting adjustments have usually been used to compensate for non-response. It is not easy to examine the non-response bias as well as to obtain information on the non-respondents in sample surveys. A household panel survey, called The Survey of Household Finances, was conducted in both 2010 and 2011. In this paper, we assume that non-response households in Wave 2 have strong non-response (non-cooperative) tendency. We classify those households into non-response households in Wave 1. Under this assumption, the characteristics of non-response households, the non-response bias and the effect of non-response adjustments are investigated.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.35-69
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• 2004

Using household survey data set during 1993~1998 period, this paper analyzes patterns and determinants of household stock market participation. The results shows that the age profile of stock market participation in Korean household is humped-shaped as in other developed countries. Also, households with a higher level and lower variability of income, bigger financial asset, and higher education level are more likely to be stockholders. The stock market participation rate of the self-employed is substantially lower than that of the employed. In Korea, the high proportion of self-employed among total labor force seems to lower the stock market participation rate.

• 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.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.534-549
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• 2012

This study analyzed the effects of housing wealth on the balance accounts of elderly households with an age of over 60 facing the asset decumulation period, capitalizing upon an ordered logit model for the 2011 household finance survey data. Out of some variables representing personal and social characteristics, the age and waged worker variables had a positive effect, but the number of household, low education level, living in the apartment and capital region variables negatively affected the balance accounts of elderly households. Some variables reflecting economic wealth and financial strategies such as the attitude of risk-taking, ordinary income and the ratio of financial assets had a positive impact, but other variables such as DSR did a negative one on the balance accounts of the elderly households. The ownership of housing wealth variable positively, but the ratio of housing assets variable negatively affected the balance accounts of the elderly households, which could be derived from the duality of housing as both consumption goods and assets. However, the ownership of other real estates and the ratio of them in the total assets variables had a negative impact on the balance accounts of the elderly households. Furthermore, since the financial asset-debt ratio worsened the balance accounts of the elderly households with both housing and other real estates, it is implied that the purchase of real estates with excessive bank loans could make them dangerous.

• Journal of Consumption Culture
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• v.15 no.2
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• pp.213-247
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• 2012

The purpose of this study was to analyze the economic structures of low-income households, and to provide the policy suggestions for their economic well-being. The data for this study was from the 2009 year of the Korea Welfare Panel Survey (KOWEPS). The results are as follows: As for income structure, the low-income households had lower amounts in earned income, business and side-work income, and property income, but a higher amount in transfer income. They had a lower amount in private transfer income, but a higher amount in public transfer income. They had the highest rate of transfer income, showing that the rate of public transfer income was higher than that of private transfer income, and the government assistance was the highest rate in public transfer income. The households in extreme poverty had the lowest amounts in earned income, financial income, private transfer income, but the highest amount in public transfer income. The households in poverty had the lowest amount in transfer income. The households in extreme poverty, poverty and near poverty showed the highest rate in transfer income. As for asset structure, the low-income households had a lower amount in every type of assets. They showed the highest rate in total debt, and had a higher rate in housing asset, but lower rates in real-estate asset, financial asset and other asset. The households in extreme poverty had a lower amount in every type of assets than the households in near poverty. Three types of the low-income households showed the highest rate in housing asset, but the households in extreme poverty was the highest among them. As for expenditure structure, the low-income households had lower amounts in all of the expenditure items. They showed the highest rate in food expenditure, the second highest in other consumption expenditure. The households in extreme poverty showed lower amounts in almost all of the expenditure items than the households in near poverty, but the households in extreme poverty showed a higher amount in monthly rent than the households in neat poverty. Three types of the low-income households showed the highest rate in food expenditure. The expenditure rates of food, monthly rent and light·heat·water for households in extreme poverty were higher than those for the households in near poverty.

• KDI Journal of Economic Policy
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• v.46 no.1
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• pp.91-129
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• 2024

The Bank of Korea, through a legal amendment in 2011 following the financial crisis, was entrusted with the additional responsibility of financial stability beyond its existing mandate of price stability. Since then, concerns have been raised about the prolonged increase in household debt compared to income conditions, which could constrain consumption and growth and increase the possibility of a crisis in the event of negative economic shocks. The current accumulation of financial imbalances suggests a critical period for the government and central bank to be more vigilant, ensuring it does not impede the stable flow of our financial and economic systems. This study examines the applicability of the Integrated Inflation Targeting (IIT) framework proposed by the Bank for International Settlements (BIS) for macro-financial stability in promoting long-term economic stability. Using VAR models, the study reveals a clear increase in risk appetite following interest rate cuts after the financial crisis, leading to a rise in household debt. Additionally, analyzing the central bank's conduct of monetary policy from 2000 to 2021 through DSGE models indicates that the Bank of Korea has operated with a form of IIT, considering both inflation and growth in its policy decisions, with some responsiveness to the increase in household debt. However, the estimation of a high interest rate smoothing coefficient suggests a cautious approach to interest rate adjustments. Furthermore, estimating the optimal interest rate rule to minimize the central bank's loss function reveals that a policy considering inflation, growth, and being mindful of household credit conditions is superior. It suggests that the policy of actively adjusting the benchmark interest rate in response to changes in economic conditions and being attentive to household credit situations when household debt is increasing rapidly compared to income conditions has been analyzed as a desirable policy approach. Based on these findings, we conclude that the integrated inflation targeting framework proposed by the BIS could be considered as an alternative policy system that supports the stable growth of the economy in the medium to long term.

• 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.