• 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.

• 한국노년학
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• v.36 no.3
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• pp.809-826
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• 2016

This study analyzed private pension dependency of Korea and U.S. households using the most recent dataset of two countries. For this purpose, 2013 Korean Retirement and Income Study(KReIS) of national pension research institute in Korea and 2013 SCF(Survey of Consumer Finances) of FRB in U.S. were used. The private pension dependency was defined as the proportion of private pension wealth among total financial wealth in each household and tobit model was used to investigate determinants of private pension dependency of the two countries. After controlling for other factors, household income and net worth, age, educational attainment, and health status of householder were crucial determinants of private pension dependency for both countries. Householder's age, educational attainment, and health tend to increase the private pension dependency in Korea and U.S. However, household income and net worth affected the private pension dependency opposite direction. The private pension dependency increased with high level of income and net worth in Korea, while it decreased with high level of income and net worth in U.S. Results of this study provide useful implications for future pension system and policy in Korea.

• 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 Digital Convergence
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• v.16 no.4
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• pp.79-85
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• 2018

The objective of this study focuses on the relationship between increasing of leverage and income, asset purchase. For empirical test, regression analysis was conducted using panel data of the household financial welfare survey. The results of the analysis are as follows: First, increasing of leverage is determined by the asset purchase. Deleveraging can be realized by reducing the size of the assets. Second, increase of leverage has positively affected on the increase of asset. Also, the increase of income has significantly positive influence on the increase of assets. These results provide practical guidance as research in increasing of leverage and increase of asset and the limitations of the research and future study are discussed as well.

• 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.

• 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 Family Resource Management and Policy Review
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• v.16 no.3
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• pp.153-176
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• 2012

This study gives an account of the state of baby-boomer households in regard to assets and liabilities utilizing the 2006 Household Asset Survey and the 2011 Survey of Household Finances. Using the data gathered from each year, this study examined the proportion of households who had each type of asset and liability, and the amount of them. This study also compared the amount of assets and liabilities of baby-boomer households with those of non baby-boomer households in 2006 and 2011 respectively. Finally, this study examined the amount of change and composition ratio of assets and liabilities of baby-boomer households between 2006 and 2011. Selected financial ratios were also presented for both years. Major findings are as follows. The average asset amount for baby-boomer households was approximately 296 million in 2006 and 392 million in 2011. Of total assets, 78% and 76.5% were real assets in 2006 and 2011 respectively. The average financial assets of 2006 baby-boomer households were approximately 66 thousand and the average amount of debt was 42 thousand. For 2011 baby-boomer households, the average amount of financial assets was 92 thousand and the average amount of debt was 73 thousand. Results from the 2011 survey showed that baby-boomer households had a significantly higher proportion of total assets, total debt, and net worth than non baby-boomer households. The proportion of savings, saving insurance, stocks, and mutual funds were significantly higher for baby-boomer households than non baby-boomer households in 2011. In regard to financial ratios, the emergency fund index and debt burden index were appropriate to the guidelines of asset quality, although the propensity to investment indexes were not.

• Journal of the Korean Home Economics Association
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• v.27 no.1
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• pp.127-139
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• 1989

본고는 저소득층 재미유학생을 중심으로 한국가구와 중국가구의 가계재정복지 및 관리행동의 인식을 비교.검토하였다. 표본의 크기는 한국 10가구와 중국11가구였다. 재정후생 조사결과에 의하면 한국 가구는 중국 가구에 비해 자산취득 등 소비에 있어서는 더 높은 평균소득을 가졌음에도 불구하고 소득수준에 더 많은 불만을 나타내고 잇었다. 재정관리행동 조사는 중국가구가 더 즉흥적인 혹은 예산밖의 소비를 하고 있는 것을 보여주고 있다. 또한 한국 가구는 재정관리 및 소비지출을 부부중심으로 행하는 반면, 중국 가구는 남편중심으로 행하고 있었으며 중국가구가 재정관리 및 소비에 대하여 더 높은 불화를 나타내고 있었다. 더불어 한국가구는 주로 부인들이 구매하는 적은 금액의 지출에, 중국 가구는 남편들이 구매하는 큰 금액의 지출에 상대적으로 더 많은 불화를 나타내었다. 한편 한국 가구의 구매불화조정은 남편에 의해, 중국 가구의 불화조정은 부인에 의해 주로 이루어 지고 있었다.

• Journal of the Korean Home Economics Association
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• v.43 no.6 s.208
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• pp.113-131
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• 2005

The purpose of this study was to investigate older people's planning for estate distribution by examining the factors associated with their will-holding status. This study used data from the 1994 Assets and Health Dynamics among the Oldest Old (AHEAD) Survey, Wave One. The objectives of this study were (a) to establish profiles of older people who have a written will and to compare their financial portfolios across will-holding status; (b) to identify factors that influence the decision to make a will, and (c) to draw implications for family economists, financial educators, planners, and policy makers. The results suggested that a household's financial resources (i.e., liquid and illiquid assets, housing equity, and household income) positively influence the probability of having a will. Older people who resided in a community property state and who were in poor health were less likely to be will-holders than their counterparts, holding financial resources and other variables constant. Demographic characteristics such as age, education, and race, and behavioral characteristic also were significant determinants of the likelihood of having a will. Volunteer participation and charitable contribution, which are proxies for altruism, increased the likelihood of having a will. The probability of having a will also was higher among those who had life insurance and had gwen inter-vivos gifts of more than $\$5,000$ to their children or grandchildren in the past 10 years. On the other hand, the likelihood of having a will declined with increasing number of biological children. From the findings, implications for financial planners and educators were suggested along with directions for future research.

• 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.