• Journal of Families and Better Life
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• v.17 no.4
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• pp.193-206
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• 1999

This study analyzed the household portfolio according to wealth levels using a survey data of 1997 Korea Household Panel Study. The major findings of this study are as follows: (1) A household in high wealth level has invested relatively large proportion of his asset into real estate (2) A household in middle wealth level has invested relatively large proportion of his asset into risky financial asset(3) A household in low wealth level has invested relatively large proportion of his asset into secure financial asset. These findings accorded with risky pyramid model.

• Journal of Families and Better Life
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• v.14 no.3
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• pp.109-120
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• 1996

While theories of portfolio selection have been developed very little is known about how individuals actually go about constructing their asset potfolios. This study investigates empirically the characteristics of household's assets and which factor associated with risky and safe asset amount. Data used in this study consisted of 2,164 households and the statistics employed to analyze the data are univariate procedure Logit analysis and OLS. The results of this study were as follows: Among 2,164 households 505 housholds(23.3%) had risky assets. Average risky asset amount is 8,351,500 won and average safe asset amount is 7,086,900 won. Region education and occupation of household head home ownership transfer and other income and total expenditure had significant effects on either and other income and total expenditure had significant effects on either household having risky asset or safe asset. Financial income transfer and other income and total expenditure had significantly p sitive relation with the risky asset amount. Whereas age and the occupation of household head the sense of economic wellbeing earned financial tranfer and other income and total expenditure had significantly positive relation with safe asset amount.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.157-170
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• 1996

Even if holding debt may be a rational means for household to maximize utility under any circumstance and any time through the family life cycle most households have some difficulty to determin and keep the moderate debt amount. The purpose of this study is to identify the characteristics of household's debt and the factor associated with debt. Data used in this study consisted of 4,009 households. The results of this study were as follows; Among 4,009 households 1,400 housholds?(34.9%) owed. Age education and occupation of household header liquid and real asset and housing ownership had significant effects on whether household having debt. The real and liquid asset had significantly positive relation with the liabilities of financial agency whereas the occupation of household header liquid asset and unearned income with private liabilities. Finally age education and occupation of household header home ownership and liquid asset had significantly negative effect on the total a ount of debt while earned and unearned income and real asset had positive one.

• Korean Journal of Rural Living Science
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• v.10 no.2
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• pp.1-14
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• 1999

The purposes of this study are to identify the factors affecting asset and debt choice behavior of rural households as well as to examine the differences in asset and debt choice behavior between rural and urban households. The data are taken from Korean Household Panel Study conducted in 1996 by Daewoo Economic Research Institute. Among 2,833, a final sample of 2,625 -537 rural and 2,088 urban sample- is used in this study. The results show that, the asset and debt choice behavior of rural households is totally different from that of urban households. The ratio of rural households holding all types of financial assets and sales credit is less than that of urban households while the ratio of holding real asset and loan is greater in rural than urban households. The most influential variable on the ownership of asset and debt is the age of household head. And there exist interrelationships between ownership of different assets and debts.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.219-235
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• 1992

This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.

• Journal of the Korean Home Economics Association
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• v.41 no.9
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• pp.105-120
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• 2003

This study has conducted to develop the computer program for households portfolio management to enhance their financial well-being. The study has divided into two parts. First, descriptive statistics has used to analyze as a basis of computer program and it includes the comparison of household asset allocations between households in Korea and U. S. A., Second, it shows the components of the portfolio program developed to manage households efficiently. For both two countries, recent four years data has been used and in part two, total sample size of households in Korea is 2155. From the statistical analysis, households in U. S. A. tend to invest more on the stock & bonds as their net-asset is increased. However households in Korea tend to have less financial assets and it might be found the fact that they prefer to own real-estate because of the inflation. In the part of computer program, it is included the average financial asset responding to the demographic variables and households could refer those average amount as a reference planning their asset portfolio.

• Journal of the Korean housing association
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• v.26 no.3
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• pp.45-54
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• 2015

The purpose of this research is to analyze the wealth effects of home-owning baby-boomers on household consumption on non-durable goods in the Seoul Metropolitan Area. In so doing, this empirical study utilized the Korean Labor and Income Panel Study (KLIPS) of 2002 and 2012. The statistical findings reveal that household wealth in the period had sharply risen in household income, asset, debt and consumption, and the substantial increase came from growing income and consumption embedded into an expansionary stage of the family life cycle. Further, housing wealth had a much greater effect on consumption expenditure than did financial asset in 2012 while financial wealth effect was larger than housing wealth effect in 2002. Housing wealth effects had become far stronger as the age of the baby-boomer householders increased. As the baby-boomers are close to the retirement stage, post-retirement income security becomes of concern, so that the wealth effect of real estate income as an income alternative for retirees is explicit. The results imply that retirement of baby-boomers is likely to reduce consumer spending, aggravating slowdown of the real economy. Thus, diversification of household asset portfolio in a pre-retirement period is of great significance in maintaining adequate household consumption in later life.

• Journal of the Korean Home Economics Association
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• v.37 no.10
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• pp.91-106
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• 1999

The purpose of this study is to analyze empirically the influences of different types of household income and asset in the consumption expenditures of homeowners and lessees with deposit. The data used in this study were the 1996 Korea Household Panel Study. 1,512 households data were selected for the final analysis. The statistical methods adopted for data analysis were frequency, percentage, one-way ANOVA, crosstabs, multiple regression analysis, and chow-test. The results are as follows: (1) There were the differences between three groups in the expenditure levels of each consumption category and the shares of each consumption category of total expenditures. (2) The change of labor income influenced more significantly consumption expenditures of homeowners and lessees with deposit, compared to changes of different types of household income. Also homeowners and lessees with deposit changed their consumption expenditures in different ways to changes of various types of household income. (3) Homeowners increased more significantly their consumption expenditures to increase of net asset than lessees with deposit.

• 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.