• Korean Journal of Social Welfare Studies
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• v.45 no.3
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• pp.71-95
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• 2014

The purpose of this study is to examine the effects of household income types and sources on the depressions and self-respect of the old aged. Although household income types and sources are supposed to be important to the mental health of the old aged as well as income level, there have been little policy interests to them. This study analyze the relationship between the household income types & sources and the mental health of the old aged, using the 8th data from the Korean Welfare Panel Study. Major findings are as follows. First, we find that there are considerable variations in the household income sources composition among the old aged, and that types of household income are related to the individual and family features of the old aged. Second, the results of regression analyses show that the household income types are associated with the depression and self-respect of the old aged. And, we find that some income sources affects the mental health of the old aged. The results of this study suggest that there should be policy attentions to the mental health effects of the household income sources so as to increase the adequacy of the income security system for the aged in Korea.

• 한국노년학
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• v.31 no.2
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• pp.321-341
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• 2011

The purpose of this study is to examine income composition elements, poverty rate, and the effects of the transfer income on poverty decrease comparing grandparents-grandchildren households with living alone, couple, and living with adulthood children. Data come from the first(2005) and the second(2007) Korean Retirement and Income Study(KReIS) and the effects of poverty decrease is examined through reconstruction of LIS income definition. The main findings are as follows. First, the total income of the grandparents-grandchildren in 2006 is the lowest and about one-fourth of the households living with adulthood children. Second, the labor income of all households are increasing but the only grandparents-grandchildren's labor income is decreasing. Third, three of ten in grandparents- grandchildren households are in poverty, the poorest households's type is the grandparents-grandchildren in 2006. Fourth, four of ten in grandparents-grandchildren is able to escape poverty after including private and public transfer income. Especially, the effects of the public transfer income in grandparents-grandchildren households is lower in 2006 than in 2004, thus the role of public income security is strongly needed. Existing research was that the poorest type among the elderly group was the living-alone households, but this results show that grandparents -grandchildren households are the poorest group. Thus, income security policy is highly needed for poor skipped-generation households.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.366-375
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• 2016

This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.

• Journal of Labour Economics
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• v.38 no.3
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• pp.23-51
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• 2015

This paper estimates the effect of household size and its changes on income inequality. Household formation is an important inequality-reducing mechanism through income pooling and collective consumption. The increase in small households, reflecting lower fertility rate and the increase in both nuclear and old families, has weakened the inequality-reducing effect of household formation. In contrast, additional workers in households and their income have strengthened the inequality-reducing effect of household formation. Given the increasing trend of old families, these results suggest for a balanced policy package that promotes employment and does not discourage co-habitation in order to maintain the inequality-reducing effect of household formation.

• Journal of Labour Economics
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• v.31 no.2
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• pp.1-34
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• 2008

This study estimates what fraction of the rise in household income inequality in Korean between 1996 and 2000 is accounted for by the change in each of the household income components, such as wages, employment, hours of work of household heads and spouses, household structure, and other incomes. The increased disparities of household heads' wages and labor supply explain, respectively, 70% and 34% of the rise in the difference in incomes between the top 10% and bottom 10% households. Changing labor supply of spouses, in contrast, was a strong countervailing force that diminished the measure of household income inequality by 21%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.238-241
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• 2018

본 연구는 한국복지패널 제11차 데이터를 활용하여 노인의 삶의 만족도와 이전소득(공적이전, 사적이전 소득)의 관계를 규명하고자 시도되었다. 분석결과, 일반가구 노인의 경우 공적이전 소득이 삶의 만족도에 유의미한 정(+)적인 영향을 미치는 반면, 저소득가구 노인의 경우 사적이전 소득이 삶의 만족도에 유의미한 정(+)적인 영향을 미치는 것으로 분석되었다. 이러한 결과는 일반가구 노인의 경우 공적이전 소득이 1,019.2만원(월평균 84.9만원)으로 공적이전 소득이 소득안정화 효과로 나타나 삶의 만족도를 높이는 것으로 예측할 수 있다. 그러나 저소득가구 노인의 경우 일반가구 노인의 공적이전 소득의 절반 수준인 508.5만원(월평균 42.4만원)으로 나타났다. 이는 저소득가구 노인의 경우 비록 "마음이 편하지 않는" 소득원천인 사적이전 소득이 불안정한 소득안정화 부족분을 채워주어 삶의 만족도를 높이는 것으로 추정할 수 있다.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.31-39
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• 2015

This paper examines trends of the income inequality index and the income quintile share ratios, using the Household Survey released by Statistics Korea. We discuss their respective effects on total income inequality and the income disparity, as a contribution concept defined in this paper for 1990-2014 periods. Main findings are as follows. First, the contribution of 2-person families to total inequality with the current income or the disposable income becomes bigger, and growth rates have been above 10% since 2003. Second, the contribution of 1-person families to income inequality is greater than that of 2-person families. Policy implication is such that the government had better investigate the 1 or 2 person families in-depth to set up the policy measures for weakening the income inequality.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.49-57
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• 2018

This study aims to identify the inequalities and characteristics of health care expenditure of the elderly and non-elderly households by income level. As a result, health care expenditure of elderly households was statistically significantly higher than that of non-elderly households. As a result of calculating the concentration index of health care expenditure by income level, inequality was higher in order of non-elderly households, elderly households, and total households. In order to confirm the effect of health expenditure on household income inequality, we calculated the concentration index of income excluding total health care expenditure from total income. As a result, inequality was higher in order of elderly households, whole households, and non-elderly households. There was not much difference in inequality of health care expenditure among elderly households and non-elderly households. And, the health care expenditure of elderly households was much higher than that of non-elderly households. Also, inequality of health care expenditure by income group was serious. There should be no cases where the medical care support policy for elderly households can not use necessary medical services.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.461-480
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• 2015

The purpose of this study was to examine the effects of mothers' parenting beliefs and supportive interaction on maternal parenting stress. It also examined variations of the results by household income levels and mothers' employment status. Participants of the study were 770 mothers of children aged 23-31 months who were a part of the 2010 wave of the National Survey for Panel Study on Korean Children. The analyses revealed that parenting stress was affected by mothers' parenting beliefs and supportive interaction. Mothers' supportive interaction has been shown significantly to predict parenting stress in all four groups of this study. The results demonstrated that the strength of the relationship between parenting stress and parenting beliefs and reciprocal interaction varied based on the combination of income and work status. These findings suggested that income and employment status are important to examine collectively.

• 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.