• Korea journal of population studies
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• v.26 no.1
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• pp.79-113
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• 2003

This study is intended to explore an income level necessart for the old-age by income Status. Firstly, it is verified whether there is significant difference between old-age and working age or not. Secondly, if their difference is found, it will be identified that it is determined by certain factors. Thirdly, it is brought out needful income level for the old-age living through analysing old-age consumption expenditure level over working age. The results in this research are as follows. Firstly, there is a significant difference between old-age and working age. Secondly, the major factors which generated difference between old-age and working age consumption expenditure are income, household size, and age. Thirdly, the income level necessary for oldage living is on average 61 %. By income status, it is 90-100% for low income status, 60-70% for middle income status, 50-60% for high income status.

• Korean Journal of Human Ecology
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• v.13 no.3
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• pp.441-451
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• 2004

This study categorized the households into four by the comparison of wives' and husbands' earned income, such as one with higher wives' income than husbands' in dual-earner households, with higher wives' income than husbands' in household with unemployed husbands, with lower wives' income than husbands' in dual-earner households, and with lower wives' income than husbands' in household with unemployed wives. This study compared and analyzed the objective and subjective economic well-being, and overall satisfaction of life in those households. Major results are below. First, the amount of expenditures, saving, debt were low in one-earner household with employed husbands, but average propensity to expenditure was high in those households. The amount of saving was low in one-earner households with unemployed husbands, but the average propensity to expenditure and debt were high, resulting in the low status of economic well-being. The amount of saving and monetary assets were high, but average propensity to expenditure and debt were low in households in which wives had higher income than husbands, resulting in the high status of economic well-being. Second, husbands' satisfaction for the level of family income was not different among four groups of households. Wives's satisfaction for those was the lowest when wives' income was higher than husbands', but the highest in households with unemployed wives. Wives' and husbands' expectations for the future economic well-being of the households were negative in households with unemployed husbands. On the other hand, the level of satisfaction of wives and husbands for their life was not different among four groups of households. Finally, four groups of households were discriminated by age of husbands, number of children, debt, and wives' expectation for the future economic well-being.

• Journal of the Korean Home Economics Association
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• v.31 no.3
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• pp.1-13
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• 1993

This study examined the expenditure on time-saving services and related variables. The time-saving services are food away from home, delivery food, dry cleaning, clothing care, helper and total service. The specific objectives of this study were: (1) to investigate the differences in the expenditure on time saving services according to social economic and demographic variables. (2) to investigate the differences in the expenditure on time-saving services according to role-overload, home goal orientation and work goal orientation. (3) to investigate the independent influence of variables related to the expenditure on time-saving services. For this objectives survey was conducted using interview. The data used in this study included 160 women living in Seoul from employed professional housewives, employed non-professional housewives and non-employed housewives. Statistical analyses were conducted using frequencies, percentiles, mean, oneway ANOVA, DUNCAN-test and multiple regression. The major findings were: (1) Wife's education, wife's age, income, tenure, level of living and employment status were significantly related to the expenditure on time-saving services by using the one-way ANOVA. (2) Income, education, level of living, number of children, and employment status explained the variance of the expenditures on time-saving services about 20%-39% by using a multiple regression method.

• Health Policy and Management
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• v.28 no.4
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• pp.369-377
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• 2018

Background: Catastrophic health expenditure (CHE) occurs when medical expenditure of a household passes over a certain ratio of household income. This research studied the effect of gender on CHE based on Korea Health Panel data. Methods: This study implemented binary logistic regression model to figure out whether gender affects CHE and how different gender groups show pattern of CHE process. With gender, age, marital status, income level, economic activity, membership of private insurance, existence of chronic disease, and self-rated health were included in the model. Results: Results showed that females faced CHE 1.5 times more than males (odds ratio, 1.241). Also, main determinants of CHE in female groups were marital status, while age and economic activity status were significant in male groups. Subgroup analysis displayed that married female under 35 years old are located in intersectionality of CHE including pregnancy and delivery, multiple health risk behaviors, mental stress, and relatively vulnerable social status due to lower income. Meanwhile, both gender above 50 years old faced remarkably high chance of CHE, which seems to be caused by complex health risk behaviors and chronic diseases. Conclusion: Such results implied not only that gender is an important determinant of CHE, but also other determinants of CHE differ according to gender, which suggests a necessity of gender-based CHE support and rescue policy.

• Journal of Families and Better Life
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• v.33 no.1
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• pp.19-39
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• 2015

The purpose of the study was to examine the characteristics and economic status of deficit households. The data for this study were from The Household Income and Expenditure Survey in 2000, 2005, and 2010 conducted by the National Statistics Office (NSO). Deficit households were defined by those who had expenditures higher than their income. Among total households, the proportion of deficit households was 26.84% in 2000, 28.14% in 2005, and 27.15% in 2010. The average propensity to consume was 132.1 in 2005, which was higher than those in 2000 and 2010. Deficit households were classified into five types using cluster analysis: 1)overall-overconsumption group(33.07%), 2)basic needs group(26.33%), 3)transportation expenditure-dominated group(6.73%), 4)education expenditure-dominated group(27.63%), 5)health care expenditure-dominated group(6.24%). The overall-overconsumption group was the largest group of total households and the portion of this group among total households decreased by 4.97%p from 2005 to 2010. However, the education expenditure-dominated group increased by approximately 7.6%p over the period. It was also found that households in 2000 and 2010 were more likely to be in all five groups than households in 2005. Other major determinants of households with deficit were gender, age, number of family members, education level, dual income, home ownership, vehicle ownership, and income class.

• Journal of the Korean Home Economics Association
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• v.41 no.1
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• pp.39-58
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• 2003

This study investigated the effects of the householder's age as a proxy for the family life cycle stage variable and the householder's occupation on the household financial structures. Household financial structures are analyzed by the components of two financial statements(the income and expense statement and the balance sheet statement) and selected financial ratios. The data came from the 1998 Korean Household Panel Study. It was found that the age profiles of household finances such as household income, expenditure, savings and consumption rate, financial assets, real assets and home ownership, debt and net worth usually vary according the householder's occupation. The ratios of debt repayment and the liquidity ratios also vary in part as age changes for each occupational group.

• Journal of Families and Better Life
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• v.17 no.4
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• pp.73-86
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• 1999

Using the 1996 National Survey of Family Income and Expenditure Survey this study investigated the effect of employment status on food expenditure patterns of elderly households. The effect of employment status of elderly households was not significant in food-at-home expenditures while it was significant in food-away-from-home expenditures. As the results of this study income age family size education number of earners home ownership and region were found to influence the food-at-home expenditures of elderly households whereas income family size number of earners and education were significantly associated with the food-away-from-home expenditures of elderly households.

• 재활복지
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• v.21 no.2
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• pp.139-167
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• 2017

The purpose of this study is to investigate the relationship between living satisfaction and income level and expenditure of the Disabled Households' and the mediation role of socioeconomic status in their relationship also the effect of the according to whether they receive basic living or not. The data and sample of total 2,906 households were extracted from the Panel Survey of Employment for the Disabled (PSED) 8th data, and it was analyzed by the SEM(Structural equation model). The study results are as follows. First, Household income is negative effect on Engel and Schwabe Index, Socioeconomic status is positive effect on life satisfaction. and Socioeconomic status is partially mediated in the path between household income and life satisfaction and socioeconomic status full mediates the schwabe index and life satisfaction. Overall, the study results emphasizes the importance of the economic activity for security income of the disabled households, and it discusses about policy directions.

• Journal of the Korean Home Economics Association
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• v.8 no.1
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• pp.181-197
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• 1970

Farm households consumption pattern from 1960 to 1968 was analized as follows. First, the influence of the price on the consumption pattern was observed by year for 9 years. Second, the influence of farm households and by size of the consmption pattern was analized by year for whole household and by size of the arable land. Third, the present status and problems of farm families consumption pattern was attempted to be found out compared with the pattern of all families of Seoul. Forth, the pattern of food expenditure which has the largest proportion in the living expenditure was analized. Following results and conclusions are obtained from the above analysis.1. The average nominal increase rate of all farm households has been increased gradually for 9 years, mostly due to the rise in household goods prices paid by farmers. 2. The living expenditure varies with the price and the disposal income, The influence of the latter is greater than that of the former. 3. The Engel's Coefficient of farmers. the average of which was 54.9%, recently tends to decrease gradually. The larger is the size of arable land, the lower is the Coefficient of farm households. But the Coefficient of farm households is higher than that of city families. 4. In general the proportion of food expenditure has a great influence on the consumption pattern, The average percentage of miscellaneous expenditure is 23.9% and it is next to food expenditure. The relationship between them is going reversely. Housing expenditure has usually the constant proportion. But the difference of the proportion between farm households (4.0%) and city families (17.1%) is considerable. Clothing expenditure and fuel and light expenditure have small variations. The former tends to increase with the income, and the latter tends to decrease with it or is constant. 5. Considering the food expenditure pattern, the average percentage (78.4%)of staple food of farm household is remarkably high compared with Seoul (48.3%) and other cities (54.0%). The decrease of the percentage of staple food expenditure in farm households is not so much as cities. 6. The propertion of the staple food expenditure of Farm families don't have so much differences by the size of arable land. But the rice proportion of staple foods has the tendency to increase with the income level. Subsidery food expenditure doesn't increase by year and by size of the land, while the consumption of meat and manufactured foods tends to increase with size of the land. But even big farm households don't reach to the level of cities in consumption of them. 7. Food consumption pattern may be influenced by the factors such as the knowledge of wife about nutrition, customs, consumption habits, and so on. The difference between farm households and city families in food consumption pattern is inferred from the above factors. Presently, the increasing income of the people promote the consumption of all items of living expenditure both in cities and farm households. But the Engel's Coeffcient and the proportion of the staple food expenditure is expected to decrease in farm households more than in cities.

• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.99-114
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• 1996

The purpose of this study was to identify the factors associated with the decision making of family vacation as a active leisure. The sample in this study consisted of 1,616 Korean married couples and household head had a salaried job. Statistics employed for the analysis were frequencies, means, porbit and tobit analysis. The results can be summarized as follows. First, the unearned household income, the number of formal vacation types had positive effects on whether the family decide their vacations or not, while car ownership had negative effect on int. Second, the wife's satisfaction of economic status, household earned income, total household expenditure-to-total household income ratio, and car ownership were significantly related to the days of family vacations. Third, husband's and wife's education attainment, household earned income, total household expenditure-to-total household income ratio, and living region were important variables for the family vacations' expenditures.