• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.755-762
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• 2015

One of the main objectives of the U.S. Census Bureau is the proper estimation of median household income for small areas. These estimates have an important role in the formulation of various governmental decisions and policies. Since direct survey estimates are available annually for each state or county, it is desirable to exploit the longitudinal trend in income observations in the estimation procedure. In this study, we consider Fay-Herriot type small area models which include time-specific random effect to accommodate any unspecified time varying income pattern. Analysis is carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. We have evaluated our estimates by comparing those with the corresponding census estimates of 1999 using some commonly used comparison measures. It turns out that among three types of time-specific random effects the small area model with a time series random walk component provides estimates which are superior to both direct estimates and the Census Bureau estimates.

• Korean Journal of Human Ecology
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• v.8 no.1
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• pp.63-79
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• 1999

The purpose of the study is to investigate the relationships between food expenditures and household socio-economic characteristics. Data used were taken from the 1996 National Survey of Family Income and Expenditure Survey. This study revealed that total food expenditures for urban salary and wage earner households were 347,798 won, which accounted for 27.0 percent of the total consumption expenditures and food away from home expenditures marked for 8.4 percent of the total consumption expenditures. Household income, household size, age of household head, occupation of household head, education of household head, housing tenure, wife's employment status, gender of household head, and children's age were all important factors in predicting the food consumption expenditures for urban salary and wage earner households.

• Forest Science and Technology
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• v.14 no.4
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• pp.192-203
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• 2018

This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.

• Journal of the Korean Home Economics Association
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• v.38 no.11
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• pp.1-12
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• 2000

The purposes of the study were to investigate the effects of the debt burden which was measured objectively, the types of debts and socio-economic characteristics on the subjective debt burden of households. The questionaires for 457 households who hold some debts were analyzed using t-test, ANOVA and Duncan’s multiple range teat. The major finding are summarized as follows: (1) the objective debt burdens which were measured by three variables, that is monthly debt repayment, the ratio of debt repayment to household income and total debt amount, affected the subjective debt burden. The households in which the monthly debt repayment was over 200 thousand won, the debt repayment was over 20% of the household income and the total debt amount was over 15 minion won felt higher debt burden. (2) the types of debts, which were classified into four groups such as debts from financial institutes, debts from private sources, credit card debts and debt from retailers, influenced differently the subjective debt burden. Holding debts from financial institutes and debts from private sources increased the subjective debt burden whereas holding credit card debts and debt from retailers did not. (3) the level of subjective debt burden were different according to household income, change in income due to IMF crisis, financial assets, home ownership, residence, householder’s age, job and educational levee. Based on the results, criterion for household’s debt management were suggested.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1237-1246
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• 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 Family Resource Management and Policy Review
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• v.11 no.2
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• pp.1-19
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• 2007

The purpose of this study was to analyze the affecting factors on employed mens' retirement and reemployment decision making. The focus was on the process of employed mens' decision on retirement and their reemployment decision after retirement from present job. The major findings were as follows ; First, the employed men who had a retirement plan were having more household income, more household net asset, more savings and investment for elderly life, and more positive attitude toward retirement. Second, the major factors affecting on having retirement plan or not were employed mens' age, household income, expected income after retirement, savings and investment for elderly life, job, and attitude toward retirement. Third, the major affecting factors on expected retirement age were employed mens' age, health status, job security, and attitude toward retirement. Forth, the employed mens' reemployment decision was affected from their household income, expected income after retirement, pension ownership, and attitude toward retirement. From the findings, it can be concluded that the employed mens' age, economic status, and attitude toward retirement played a important role in the process of retirement and reemployment decision making.

• Annals of Occupational and Environmental Medicine
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• v.34
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• pp.2.1-2.14
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• 2022

Background: Because income and working hours are closely related, the health impact of working hours can vary according to economic status. This study aimed to investigate the relationship between working hours and the risk of poor self-rated health according to household income level. Methods: We used the data from the Korea National Health and Nutrition Examination Survey VI and VII. The information on working hours and self-rated health was obtained from the questionnaire. After stratifying by household income level, the risk of poor self-rated health for long working hour group (≥ 52 hours a week), compared to the 35-51 working hour group as a reference, were calculated using multiple logistic regression. Results: Long working hours increased the risk of poor self-rated health in the group with the highest income, but not in the group with the lowest income. On the other hand, the overall weighted prevalence of poor self-rated health was higher in the low-income group. Conclusions: The relationship between long working hours and the risk of poor self-rated health varied by household income level. This phenomenon, in which the health effects of long working hours appear to diminish in low-income households can be referred to as the 'poor worker's long working hours paradox'. Our findings suggest that the recent working hour restriction policy implemented by the Korean government should be promoted, together with a basic wage preservation to improve workers' general health and well-being.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.331-341
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• 2019

The purpose of this analysis is to examine the effects of health expenditure on income inequality on household income after the financial crisis by using the household income survey form 1996 to 2016. The main results are as follows. First, after the financial crisis, the gross income inequality of households has been changing steadily, though there has been a slight change in each year. Second, high-income earners spend more on health care expenditure by income level. Therefore, unequal levels are maintained. Third, the Gini coefficient of income excluding health care expenditure was calculated. The results of the analysis are larger than the Gini coefficient of total income. Income inequality is intensified by the expenditure of health care expenditure of households. The inequality of household income due to health care expenditure has been increasing steadily since the financial crisis. Efforts such as strengthening the protection of health insurance have been continuously carried out for the purpose of reducing the burden of the national medical expenses. However, it does not contribute to resolving income inequality. In the future, it will be necessary to provide a more selective medical support system to reduce the medical expenditure of the low income class.

• Korean Journal of Community Nutrition
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• v.26 no.6
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• pp.467-481
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• 2021

Objectives: The purpose of this study was to examine the biochemical characteristics, intake of energy, and nutrients by household income levels of Korean adolescents aged 12 to 18 years. Methods: Data from the 6th (2013 ~ 2015) Korea National Health and Nutrition Examination Survey (KNHNES) were used for the study. A total of 1,839 (966 boys, 873 girls) subjects were included, and they were divided into four income groups according to their household income level. We examined general characteristics (gender, region of residence, skipping or not-skipping breakfast, lunch, dinner, frequency of eating-out), anthropometric characteristics (height, weight, weight status), biochemical characteristics (fasting plasma glucose, blood urea nitrogen, creatinine, triglycerides, cholesterol, HDL-cholesterol, hemoglobin, and hematocrit), the quantitative intake of energy and nutrients using the Korean Dietary Reference Intakes (KDRI), and the qualitative intake evaluated by the nutrition adequacy ratio (NAR) and mean nutrition adequacy ratio (MAR) of the four groups. Results: There were significant differences by income group within the region of residence and the rate of skipping breakfast, lunch, and dinner. The low-income group had a higher rate of skipping breakfast, lunch, and dinner. According to the income group, there was a difference in the height of boys, and there was no difference in the weight and obesity of boys and girls. In the biochemical characteristics, only the hematocrit of girls showed differences by income group. The quantitative intake of energy and nutrients compared with KDRI differed by income group. There were differences in energy, carbohydrates, proteins, thiamin, riboflavin, niacin, and phosphorus levels in boys and protein, vitamin A, niacin, and sodium levels in girls. The qualitative intake of energy and nutrients examined using NAR and MAR also differed according to the income group. The NAR showed differences in calcium in boys and vitamin C and calcium in girls. The MAR revealed differences in both boys and girls by income group. Conclusions: Among adolescents in the low-income group, the rate of skipping meals was high, and the quantitative and qualitative intake of energy and some nutrients was low. It is suggested that the nutritional intake can be improved by lowering the rate of skipping breakfast, lunch, dinner. We suggest that even just providing breakfast in schools can be considered highly effective in improving the rate of avoidance of skipping meals and improving nutrient intake. Also, we suggest that it is necessary to improve the food environment, food availability, and food accessibility through national and social support for low-household income adolescents.

• The Journal of Fisheries Business Administration
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• v.25 no.1
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• pp.61-84
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• 1994

The Fishery Household Concept is very important, because it furnish the basic information for Fisheries Policy Decision. But it is issued because the Established Fishery Household Concept is not fully reflected present Fisheries Situation. The Targets of Fisheries Policy in Korea can mainly classified Three, that is the stable Supply of Sea Food, Achievement of more high Fishery Household income, the Construction of more Comfortable Fishery Village. For Attainment these targets, the Criterion of Fishery Household Concept should be changed to 60 days from fishery working days,30 days. Also One of the Fishery Household Criterion should be inculuded Income Variable like Farm Household Criterion. This is needed to pay attention because it can provide against Trade Liberalization.