• Korea Real Estate Review
• /
• v.28 no.3
• /
• pp.79-94
• /
• 2018

This study analyzed the factors associated with residential mobility based on the data from the 11th to the 19th wave of the Korean Labor & Income Panel Study (KLIPS). After grouping low-income households within the first to the fourth income bracket into households that exhibited no income bracket change and those with income bracket changes during the research period, this study examined the effects of the income situation of each group on residential mobility. According to the results of the analysis, in the group of households that showed no low-income bracket change, significant effects were found only in the age of the head of the household, housing cost, and rental deposit (Jeonse) and monthly rental of the household. In the group of households that showed low-income bracket changes, findings were generally in line with those of the whole household, where total income and the number of full-time employees in the household were the same as those of the whole household, indicating that it would be necessary to improve the employment stability of low-income households. Based on the findings of this study, housing inequality is intensifying within low-income households, and, thus, housing policies, based on continuing surveys, must be implemented to enhance income opportunities and stabilize the housing needs of low-income households.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.1237-1246
• /
• 2021

The purpose of the research is to evaluate how education influences the income of household heads, who are young adult in rural Vietnam. In order to examine the impact of education on the households where their heads are young adults, in this paper, the authors employ two research methods. First, ordinary least squares (OLS) regression is used to study the impact of education on different groups of income; second, quantile regression is applied to find out how education influences the income of households. The dataset includes a survey of 800 young households aged between18 and 35 who are the head of agricultural farms in rural areas. The findings indicate that education has a positive impact on income of young households. Furthermore, the results prove that the longer schooling years, the higher income youth can attain. The results showed that, at the survey time (Sep 2019), the average monthly income of rural young adults who are joining the production process shows a big gap between low and high incomes. Moreover, the study has revealed that other factors positively affect the incomes, namely, joining job-related associations, land resource, hired labour, hi-tech application as well as extension of producing unit.

• Journal of Families and Better Life
• /
• v.19 no.1
• /
• pp.173-190
• /
• 2001

The purpose of the study was to provide the informations about the economic status of elderly households. Utilizing the 1996 national household data, economic status was investigated by the components of two financial statements: the income and expense statement and the balance sheet statement. Thus it included incomes, consumption, propensity to consume, savings(financial assets), debt amount and net-savings. The elderly households were compared with the nonelderly households. The subgroups of the elderly were also compared. They were divided based on the employment status of the head and household composition. The results showed that the economic status of the elderly was worse compared to the nonelderly. There were also variations among the subgroups of the elderly households. In general, the economic status of retired households and single households were worse than those of employed households and of the households composed of couple and the elderly living with children.

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

• Journal of Family Resource Management and Policy Review
• /
• v.7 no.1
• /
• pp.135-152
• /
• 2003

This study examined which factors influence educational expenditure by family life cycle. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 2,681 households. The results showed that the households having high school students had the highest educational expenditure and the households having middle school students had the highest ratio of educational expenditure to consumption expenditure. The education of household head, family type, the number of children, the age of the youngest child, and family income had significant effect on educational expenditure in all the stages of family life cycle. The results of this study will be useful for financial management of households and give suggestions for the government policy on education.

• Journal of Families and Better Life
• /
• v.33 no.5
• /
• pp.1-24
• /
• 2015

The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.601-610
• /
• 2022

Although the number of people insured by private health insurance in Korea is steadily increasing, the household burden or the status of multiple purchasing for private health insurance has not been addressed. In this study, data of the 2011-2018 Korea Health Panel Survey was used to examine the purchasing trend of Korean households' private health insurance. Households with more than three private health insurance per household member were defined as the 'poly-purchases'. The logit model was applied to analyze factors associated with poly-purchase of private health insurance using 2018 cross-sectional data. From 2011 to 2018, the number of insurances purchased by Korean households increased (4.0 to 4.6), the number of insurances per capita increased (1.3 to 1.6), and the proportion of the poly-purchasing households increased (5.2% to 10.8%). As a result of logit analysis, the probability of poly-purchasing was increased when the household head was a woman, with a high level of education and income, and when the job of the household head was a service or sales. Poly-purchasing was less likely when the family was subsidized with Medical Aids and suffered with more chronic diseases. The results of this study serve basic evidence for establishing policies regarding private health insurance, such as establishing the relationship between public and private insurance.

• Journal of Preventive Medicine and Public Health
• /
• v.47 no.2
• /
• pp.104-112
• /
• 2014

Objectives: To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea. Methods: Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated. Results: In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels. Conclusions: The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.

• Journal of the Korean housing association
• /
• v.8 no.1
• /
• pp.49-56
• /
• 1997

The purpose of this study was to identify effects of residential mobility among the new town movers. The major findings are as follows : 1) As they moved in new town the distance to their wok palce increased substantially. 2) Degree of residential satisfactions increased after moving in the new town. 3) Commuting time is strongly influenced by head of household's level of education, family life span, and tenure status of households.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.637-640
• /
• 2005

We propose a sound source localization method using the Head-Related-Transfer-Function (HRTF) to be implemented in a given platform. HRTFs contain not only the information regarding proper time delays but also phase and magnitude distortions due to diffraction and scattering by the shading object. Therefore, a set of HRTFs for any given platform provides a substantial amount of information as to the whereabouts of the source. In this study, we introduce new phase criterion in order to find the sound source location in accordance with the HRTF database empirically obtained in an anechoic chamber with the given platform. Using this criterion, we analyze the estimation performance of the proposed method in a household environment.