• Journal of Families and Better Life
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• v.18 no.2
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• pp.93-108
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• 2000

This study examines difference in expenditure patterns between working-wife families and nonworking-wife families. The data used in the study is 4,506 husband-wife families take National Survey of family Income and Expenditure in 1996. Of the sample, 42.3% are working-wife families. Consumption expenditure patterns are analyzed in two ways. One is the budget share of each given expenditure and the other is elasticity of those expenditure. The main results of this study are as follows: First, there are the differences between working-wife families and nonworking-wife families in the budget share of each given expenditure. In the budget shares of each given expenditure, nonworking-wife families share more than working wife families for food and medicine. And working-wife families allocated more on public transportation than their counterparts. Second, there are also differences between working-wife families and nonworking-wife families in income elasticities.

• Health Policy and Management
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• v.12 no.3
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• pp.99-111
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• 2002

This paper draws the determinants of National Health Expenditures(min) and collectivizes OECD countries which are positioned by same conditions using the decision tree analysis. Major findings are summarized as follows. We find that the power of influence of income level on NHE has been 58.35% in 1985, 65.37% in 1990, 66.90% in 1995, and 66.47% in 1997. The power of influence of public share in NHE has been on the increase during that period: 19.50% in 1985, 19.91% in 1990, 22.81% in 1995 and 26.88% in 1997. The two factors(income level, public share) tells for the most part of NHE: 77.85% in 1985, 85.28% in 1990, 89.71% in 1995, 93.35% in 1997. Our results support the hypothesis that NHE could be explained mostly by the income level and show that public share is negatively correlated with the growth of NHE.

• Korean Journal of Social Welfare
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• v.41
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• pp.68-92
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• 2000

The purpose of this study is to analyze the determinants of social welfare expenditure in local government. The period of 1995 through 1998 data in Seoul, 6 other metropolitan areas, and 9 provinces (Do) were selected and pooled as unit of analysis and total 8 independent variables were selected based on the theoretical background and previous studies. The pooled cross-sectional time-series regression using SPSS program was adapted for the analysis. Among selected independent variables, the rate of economic expenditure to the local government expenditure, the rate of financial self-reliance, and the increase rate of social welfare expenditure to the previous year has been played a significant role in the rate of social welfare expenditure to the total expenditure. Both the rate of economic expenditure and rate of financial self-reliance have had a negative impacts on the rate of social welfare expenditure and the increase rate of social welfare expenditure have affected the rate of social welfare expenditure positively. Therefore, the variables based on the economic constraint theory as well as incrementalism perspective gives greater explanatory power of the social welfare expenditure than the variables on the political choice theory in Korean local government.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.99-118
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• 2018

This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.

• Health Policy and Management
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• v.20 no.1
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• pp.37-63
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• 2010

Public expenditures on long-term care are a matter of concern for Korea as in many other countries. The expenditure is expected to accelerate and to put pressure on public budgets, adding to that arising from insufficient retirement schemes and other forms of social spending. This study tried to foresee how much health care spending could increase in the future considering demographic and non-demographic factors as the drivers of expenditure. Previous projections of future long-term expenditure were mainly based on a given relation between spending and age structure. However, although demographic factors will surely put upward pressure on long-term care costs, other non-demographic factors, such as labor cost increase and availability of informal care, should be taken into account as well. Also, the possibility of dynamic link between health status and longevity gains needs to be considered. The model in this study is cell-base and consists of three main parts. The first part estimated the numbers of elderly people with different levels of health status by age group, gender, household type. The second part estimated the levels of long-term care services required, by attaching a probability of receiving long-term care services to each cell using from the sample from current year. The third part of the model estimated long-term care expenditure, along the demographic and non-demographic factors' change in various scenarios. Public spending on long-term care could rise from the current level of 0.2~0.3% of GDP to around 0.44~2.30% by 2040.

• Health Policy and Management
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• v.24 no.1
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• pp.47-55
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• 2014

Background: Korea is considered to have an integrative health system where both western medicine and Korean (traditional) medicine are officially recognized and provided. Although Korean medicine has been covered by National Health Insurance over 20 years, equity in the utilization of Korean medical care has rarely been examined. Methods: We examined medical care utilization and expenditure of outpatient Korean medicine using panel fixed effects model to remove selection bias. Then we compared it with pooled ordinary least square (OLS) model. This study used Korea Health Panel data, which provides accurate information on out-of-pocket health care payment, including non-covered medical services. Results: Principal findings indicate that the frequency of the utilization of Korean medicine is related with unobservable individual choices different from western medicine, so the panel fixed effect model is appropriate. But pooled OLS model is better fitted for the expenditure of Korean medicine, after controlling for western medical care expenditure. After adjusting for the selection bias, socioeconomic status (income, education) was significantly associated with the expenditure of Korean medicine, but not with the frequency of the utilization of Korean medicine. Conclusion: This study shows that expenditure of Korean medicine utilization is inequitable across socioeconomic groups, which implies that health insurance coverage of Korean medicine is not sufficient.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.33-43
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• 2010

The objective of this paper is to analyze expenditure structures and impact factors of household's transportation cost in order to provide policy-maker with quantitative and economic information for reducing household's transportation costs, using 1995-2007 household survey data. For this purpose, this study performed various economic analysis, including econometric regression analysis and income re-distributional effects. The four models were separately estimated with dependent variable (personal and public costs, public transit and private car costs) and independent variables (family, employ, age, education, cars, household income, region dummy variable). In addition, We analyzes impacts of transport policy instruments on the transportation expenditure. These instruments include changes of oil price and public transit fare, reform of public transport system, and extension of subway facilities. Finally, income re-distributional effects before and after transportation expenditure, using Pechman-Okner (PO) index and Wolfson index.

• Health Policy and Management
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• v.30 no.3
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• pp.399-408
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• 2020

Background: The purpose of this study was to examine the impact of the regional characteristics on the accessibility of emergency care and the impact of emergency medical accessibility on the patients' prognosis and the emergency medical expenditure. Methods: This study used the 13th beta version 1.6 annual data of Korea Health Panel and the statistics from the Korean Statistical Information Service. The sample included 8,119 patients who visited the emergency centers between year 2013 and 2017. The arrival time, which indicated medical access, was used as dependent variable for multi-level analysis. For ordinal logistic regression and multiple regression, the arrival time was used as independent variable while patients' prognosis and emergency medical expenditure were used as dependent variables. Results: The results for the multi-level analysis in both the individual and regional variables showed that as the number of emergency medical institutions per 100 km² area increased, the time required to reach emergency centers significantly decreased. Ordinal logistic regression and multiple regression results showed that as the arrival time increased, the patients' prognosis significantly worsened and the emergency medical expenses significantly increased. Conclusion: In conclusion, the access to emergency care was affected by regional characteristics and affected patient outcomes and emergency medical expenditure.

• 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 Families and Better Life
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• v.25 no.6
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• pp.111-120
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• 2007

The purpose of this study was to investigate the relationship between householder's education level and the education expenditure for children. The Family Income and Expenditure Survey data of the 2005 National Statistical Survey were used to examine the hypothesis. For data analysis, ANOVA and regression method were applied. The results are as follows: House-holds in Seoul spent 533,000 won for child education per month on the average, and 64% of the expenditure was for private education. Households whose householder's education level was high spent more expenditures on public and private education for children than the households whose householder's education level was low. When the household income level was controlled, householder's education level affected only private education expenditure.