• Journal of Families and Better Life
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• v.22 no.5
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• pp.283-292
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• 2004

The purpose of this study was to examine the determinants of expenditure adequacy of eldery households. Data for this study were collected from 2002 House Income and Expenditure Survey of Korea National Statistical Office, which is consisting of a sample of 918 eldery households. Expenditure adequacy was investigated by the Spending to Income ratio and Expenditure to Minimum standard of living ratio. The results showed that 48% of households spent more than 100% of their taken-home income or less than the minimum standard of living. Multiple logistic regression was used to investigate the determinants of expenditure adequacy. Gender, age, education, job status, family size, and level of income were significant determinants of spending to income ratio and Expenditure to Minimum standard of living ratio. Family size had negative effect on expenditure adequacy, householder's job status and the level of income had positive relationship with it.

• Journal of Families and Better Life
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• v.25 no.1 s.85
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• pp.1-13
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• 2007

The determinansts of expenditure spent on medical care and the ratio of medical care spending to consumption expenditure were investigated using the 2002 House Income and Expenditure Survey by the Korea National Statistical Office, which consisted of a sample of 918 elderly households. There were significant differences in expenditure on medical care and the ratio of medical care spending to consumption expenditure between elderly and nonelderly households. Age, education, overspending were significant factors that determine the expenditure on medical care and the ratio of medical care spending to consumption expenditure. Overspending is the most important factor related to expenditure on medical care and the ratio of medical care spending to consumption expenditure.

• KDI Journal of Economic Policy
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• v.38 no.4
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• pp.23-44
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• 2016

Household debt in Korea raises concerns about the resilience of the economy due to its size and quality. Against this backdrop, we investigate if household leverage matters for private consumption in adverse economic environments even without severe financial disruptions. We find that the balance sheet positions in terms of the leverage ratio may weaken consumption growth. We also find that the depressive effect of debt on consumption may differ across types of consumer spending and household characteristics. In particular, the effects of indebtedness have been much stronger in relation to durable goods expenditures than in other areas. In addition, debtors in high-income (wealth) groups have also shown downward adjustments in consumption even more so than low-income (wealth) groups. These findings imply that debtors' precautionary behavior may serve as an important channel from leverage to consumer spending.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.411-419
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• 2016

This study tried to find the relationship between household income level and medical expense to household income ratio. For data analysis, it used 2010 and 2011 yearly data beta version of Korea Health Panel, co-managed by Korea Institute for Health and Social Affairs and National Health Insurance Corporation. To find out how the effect of independent variable changes in 2010 and 2011, the interaction effect between year and independent variable was examined, and separating the factors that showed interaction effect into each year, linear regression analysis was conducted using generalized estimating equations method. As a result of reviewing the factors that were related to medical expense to household income ratio among the people who used medical services, it was found that the higher the household income level, the lower the medical expense. It indicates that policy measures are needed to lessen the medical burden of low-income families.

• Journal of Family Resource Management and Policy Review
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• v.7 no.2
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• pp.131-144
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• 2003

The purpose of this study was to examine the overspending in Korean urban households. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 3,250 households. The mean of the spending to income ratio was 1.02 and 37% of the households spent more than 100% of their taken-home income. Multiple logistic regression was used to investigate the determinants of overspending. Education, job, household type, the number of earners, the number of children, life cycle, location, and home ownership were significant variables which influence the overspending. The results of this study is useful for financial planners and counselors to make a guide line for overspenders.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.415-428
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• 1997

In the present study we examined clothing expenditure patterns and related variables in Korea. In addition we analyzed the differences of clothing expenditure patterns between overall overspenders and non-overspenders. We use the Family Income and Expenditure Study published by the National Statistical Office of Korea. Double logarithm functional forms were used to adjust the normality of sample distribution and multiple regression analyses and t-test were utilized as a statistical tools. The present study was divided into four folders. First the income elasticity of clothing expenditures was examined by different groups such as age job and education levels of households as percentage change of clothing expenditures to a percentage change of income. Second to analyze the effects of demogtraphic and socio-economic variables on clothing expenditure we utlized the standardized coefficients in the separate regression equation by demographic and socio-economic variables. Third using spending to income ratio we investigated the differnces of the clothing expenditure patterns between overall overspenders and non-overspenders. Fourth the effects of independent variables by ovespenders and non-overspenders werediscussed.

• 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.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.625-633
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• 2017

The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.236-245
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• 2013

This study analyzed the relationship between elderly suicide rates and socio-economic factors from the macroscopic perspectives. As certain theoretical background of elderly suicide, sociological and economic perspectives are applied. The economic factors of elderly suicide rates consisted of economic growth and unemployment rate, economic activity rate of the aged, and relative poverty rate (income inequality rate). The sociological factors included social welfare spending, divorce rate, growth rate of population aging, and elderly dependency ratio. According to research findings, first, the more economic activity of the aged is low, the more elderly suicide rate is high. Second, the more social welfare spending rate goes flat, the more elderly suicide rate is growing. Third, the more relative poverty rate (income inequality), increasing population aging rate, and elderly dependency ratio are high, elderly suicide rate goes high at the same time. Finally, this study proposed several socio-economic policy alternatives for preventing continuous growth of Korean elderly suicide rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2038-2045
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• 2010

Households' monthly average income is composed of various factors. This study paper studies focuses on estimating the determinants of a households' monthly average income. The region for analysis consist of three groups, that is, the whole country, a metropolitan city(such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 57 time points(2005. 01~2009. 09). In this paper the dependent variable setting up the households' monthly average income, explanatory (independent) variables are composed of the consumer price index, employment to population ratio, Index of housing sale price, the preceding composite index, loans of housing mortgage, spending rate for care medical expense and the composite stock price index. In looking at the factors which determine the monthly average income, evidence was produced supporting the hypothesis that there is a significant positive relationship between the composite index and housing loans. The study also produced evidence supporting the view that there is a significant negative relationship between employment ratios, the house sale pricing index and spending rates for care or medical needs. The study found that the consumer price index and composite stock price index were not significant variables. The implications of these findings are discussed for further research.