• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.12-24
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• 1999

This study attempts to explore the effects of personal, household, and environmental factors on household financial management in financial dimensions. Financial management behaviors are constructed with 5 dimensions : income, expenditure, debt, investment and risk management. The specific objectives of this study are : 1) to examine the level of the financial management behavior to the sub-dimensions. 2) to investigate the factors which influence on the level of financial management behavior to the dimensions. The sample consisted of 792 married women living in Seoul. The statistical methods used for analysis included Reliability, Frequencies, Percent, Mean, Standard Deviation, Multiple Regression Analysis. The major results can be summarized as following 1) Among the sub-dimensions, the score of risk management is the most high, 39.00. 2) There are statistically significant differences in the levels and factors which influence on the financial management behavior to the 5 dimensions.(Korean J of Human Ecology 2(l) : 12-24, 1999)

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.53-77
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• 2016

Financial soundness in the household sector matters for financial stability and for the real economy. The level of household debt in Korea raises concern about the financial soundness of the household sector due to its size, growth rate and quality. Against this backdrop, we assess the financial vulnerability of borrowers based on an analysis of credit bureau (CB) data, in which the actual credit activities of most individuals are recorded at a high frequency in Korea. We construct over-indebtedness indicators from the CB data and then assess the predictability of forthcoming defaults. Based on the over-indebtedness indicators, we show how borrowers are distributed in terms of over-indebtedness and how the over-indebted differ from average borrowers in terms of their characteristics. Furthermore, we show how the aggregate credit risk in the household sector would change under macroeconomic distress by analyzing how each borrower's credit quality would be affected by adverse shocks. The findings of this paper may contribute to assessing household debt vulnerability and to enhancing regulatory and supervisory practices for financial stability.

• 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 Families and Better Life
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• v.21 no.6
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• pp.43-51
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• 2003

The purpose of this research was to investigate the perception of financial risks and expenditures for insurance by household characteristics. Data were collected from 598 housewives by online survey on Dec., 2001. Results indicated that respondents had perceived the risk of unemployment most among three types of risks. Household characteristics reflecting financial needs in emergency case had positive effects on the perception of risks, and hence the expenditures for insurance, in general. On the other hand, the level of emergency preparation had negative effects on the perception of risks and the expenditures for insurance. However, only credit-related risk had a positive relationship with the expenditures for insurance.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.143-158
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• 2008

The purpose of the study was to investigate the wife and husband role division in household financial management between dual-income household and single-income household. Household financial management included the following five categories: financial planning, consumption/expenditure management, savings/investment management, risk management and credit management. Data for this research was collected through 610 married women living in Seoul, Korea. Using SAS-PC program, Chi-square and t-test Analyses were executed. The results showed that dual- and single-income households tend to have different perspectives on marital role division in household management. Wives of dual-income households had more significant roles in financial management rather than wives of single income households. Especially, wives of dual-income managed more active credit management and saving/investment management. On the other hand, wives of single-income households played a major role in making decision over cheap items than that of wives of dual-income household.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.81-95
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• 2008

This paper examined the impact of psychological characteristics of consumers on household debt decisions. With the use of the Heckit models (the traditional approach to the selection problem) this study undertook an empirical study of the influence of a wide range of factors on financial decisions. This study used U.S. household-level data that offers detailed information on household debt, expectations about future income, expectations about future economic conditions, the amount of financial risk the respondent was willing to take, and the amount of time allotted for planning family savings and spending. This study showed that respondents with both substantial financial risk tolerance and positive expectations about future income were likely to have larger household debt showing that researchers and policy-makers need to consider consumer sentiment and preference measures in modeling behavior in credit markets. Additional results showed that household debt is significantly related to two key economic variables: income and net worth.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.115-130
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• 2002

The purposes of this study was to analyze the effects of household characteristics and financial variables on financial management behavior and financial solidity. The major results could be summarized as follows. First, Debt management behavior and risk management behavior reveled a higher score than any other financial management behaviors. The main determinants of financial management behavior were financial communication and financial attitudes. The more positive financial attitudes and the more financial communication were, the better the financial management behavior followed. The set of households characteristics variables accounted for 2% of the variance in the financial management behaviors. But the addition of financial related variables resulted in an R2 change of 33%. Second, the financial solidity by median was 4.10. It means that usuable net asset is four times higher than the total amount of risk. Household head\`s age, financial attitudes and financial management behavior were the variables affecting the financial solidity.

• International Journal of Human Ecology
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• v.5 no.1
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• pp.35-43
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• 2004

The purposes of this study are to examine effects of household characteristics and risk tolerance attitude on risk tolerance behavior and to investigate the effect of risk tolerance attitude and behavior on financial satisfaction. For this study, data were collected during October of 2001 through a popular Web site for women in South Korea (www.azoomma.com). The participants in this study were 609 housewives, resulting in 607 with usable data. Multiple regression and path analysis were conducted using the SPSS for Windows. Findings suggest that the greater is risk tolerance attitude, the greater is risk tolerance behavior and those who exhibit more risk tolerance behavior tend to be more satisfied with their personal financial situation. It implies that risk tolerance behavior playa positive role in predicting financial satisfaction. The results have implication for family economists and educators in developing educational program and presenting strategic to increases financial well-being, and also for financial counselors and planners in suggesting portfolio advice to their client

• Journal of the Korean Home Economics Association
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• v.45 no.10
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• pp.59-71
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• 2007

The purpose of this study was to investigate differences in wives' financial management behavior according to variables related employment and income, and perceived economic instability of household. Financial management behaviors were constructed with 4 sub dimensions : investment, income expenditure, risk, and debt management behavior. The subjects of this study were 225 wives. Factor analysis and MANOVA were performed for data analysis. The results of this study were as follows : First, there were signigicant differences in financial management behavior according to variables related employment, i. e. employment state of wives and husbands. Second, there were signigicant differences in financial management behavior according to variables related income, i. e. monthly income, additional income, income stability. Third, there were signigicant differences in financial management behavior according to perceived economic instability of urban household.

• Human Ecology Research
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• v.59 no.1
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• pp.127-141
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• 2021

This study evaluates the financial status of Korean households using Household Financial Composite Index (HFCI) proposed in the preceding study. We analyzed 1,566 households with four persons aged 30-59 using raw data from the Korea Labor Panel Survey in 2016. The analysis results are as follows. First, HFCI was found to be 57.0 out of 100. Growth Index as one of three subindices was 11.1, which was significantly lower with 65.0 points for Status Index and 61.1 points for the Stability Index. Second, for households with male household owners, the overall financial score was 57.0, while that with female owners was almost similar with 57.2. HFCI was similar for the owner's age groups, but for Status Index, 58.5 for 30s, compared with 66.1 for 40s and 67.1 for 50s. The higher the education level of household owners, the better HFCI, with 53.2 high school graduates and 64.8 graduate graduates, showing a high gap of 11.6 points. HFCI for households living in owned housing was highest at 60.0, while that for rented housing was 40.7. Third, after controlling other effects, it was found that HFCI differed according to the level of education and ownership of housing living. Householder's gender was not found as a significant factor on HFCI. Status Index The 40s and 50s was higher than those in their 30s. Fourth, households were divided into three groups based on HFCI, named as risk, average and secure groups. HFCI for the risk group was 26.8, which was lower than 78.6 for the secure group, with a Status Index of 19.3. Households in their 50s and graduate school graduates were significantly included in the list of secure groups than others.