• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.205-220
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• 2003

The purpose of this study was to investigate factors affecting consumer's housing tenure status by various household's characteristics. This study used 1997 KHPS(Korea Household Panel Study) by Daewoo Economic Research Institute and used 1,977 households for the analysis. The results of this research were summarized as follows; 1. There were major differences in household's characteristics by consumer's housing tenure status, except for the household's monthly income and savings. 2. Factors affecting consumer's choice of ‘owning’ a housing and taking a ‘chonsei’ system were very similar, but they affected in the opposite direction. 3. Factors affecting consumer's choice of taking a ‘chonsei’ system and ‘renting’ a house were much more similar, and they affected in the same direction. This study can be useful in developing housing service and design, and housing policy by consumer's choice of housing tenure status.

• Journal of Families and Better Life
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• v.11 no.1
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• pp.35-45
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• 1993

The purpose of this study is to investigate the changes of housing characteristics and the degree of attainment of housing norms. The major findings are as follows: 1) There are significant differences in changes of housing characteristics. A size of house and the number of room have been improved according to hosing experience and housing expects. Type of tenure has been improved according to housing experience and housing expects. Type of tenure has been improved gradually according to moving. The family with higher socio-economic status prefers apartments. Although about a half of household hopes to live in a high-rising apartments. more than 40 persentage of the household still hopes to live in single detached houses. As a result apartment are though not to satisfy their housing well-being 2) As socio-economic status is higher and family life cycle is longer the degree of their attainment of housing norms appear higher. The household attaining higher housing norms has the higher housing satisfaction but needs to move is lower The family attains housing norms as the following orders: type of tenure\longrightarrowtype of house\longrightarrowthe nmber of rooms\longrightarrowa size of house.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.135-159
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• 2010

The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.277-290
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• 1997

This study analyzed household expenditure patterns using the 1990 Korean Consumer Expenditure Survey and identified the factors determining a household's probability to be in an expenditure pattern. The results of cluster analysis revealed five expenditure patterns: Education and Recreation-dominated; Necessities-dominated; Miscellaneous expenditure-dominated Housing dominated; and Transportation and Communication-dominated patterns. Based on the results of descriptive and Logit analyses household income household size age of household head and housing status were major factors to determine the type of househld expenditure pattern.

• Journal of Families and Better Life
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• v.29 no.6
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• pp.105-121
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• 2011

The purpose of this study was to propose ubiquitous housing environment based on older residents' needs for ubiquitous(UT) home services. For this purpose, at the previous study which was the first stage of this study, UT home services by each elderly household based on spouse, income level, and health status were identified and this study finally proposed UT home services by each elderly household type according to residents' level of needs for UT home services. One to one interview with a structured survey questionnaire and illustration was implemented and 204 older residents who were composed of one of six elderly household types were responded. Among 6 types of elderly households, type 2 and 6 were the groups which had higher needs for various kinds of UT home services. Economic status and their health status were the key factors to determine their needs for UT home services. Type 4 and 7 were the groups to express their lower needs for UT home services due to their lower income level and good health condition. Ultimately, two floor plans for type 4 and 5 elderly households were developed to show applicable UT home services in each room of the house.

• International Journal of Human Ecology
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• v.13 no.1
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• pp.129-145
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• 2012

The purpose of this study was to investigate housing cost burden of U.S. households according to current and previous tenure types and explore influences on their housing affordability. The public-use microdata of the 2009 American Housing Survey was analyzed in the following two stages: In the first stage, households were classified into eight groups by combining their current and previous tenure types, year moved into current housing units and mortgage status of current owners and their characteristics were compared. In the second stage, the factors that influenced the housing cost burden by each combined tenure group were explored using multiple regression analyses. The findings are as follows: (1) The mortgage status was more influential than the previous housing experiences of owner households to distinguish one owner household from another. (2) Renter households who had been owners of previous housing units showed significantly different characteristics compared to continuing and new renter households in terms of income, educational attainment, and householder's marital status as well as housing costs and housing cost burdens. (3) To see the multiple regression analysis results, households with different current and previous tenure types were found to have different factors that influenced the housing cost burdens. In addition, household characteristics were found to have significant influences on housing cost burdens as strong as cost-related variables such as annual mortgage payments and rent per square footage.

• Journal of the Korean housing association
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• v.25 no.3
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• pp.123-130
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• 2014

The decrease in the birth rate of the modern changes in population structure changed recovery households and household members. This change was seen in the furniture sector, 2010 population housing total survey data according to the types of households and household members indicate that future changes. Problems can predict the various issues raised, and to ensure that the supply of housing of the population structure and household type is not done properly and home sales take a look at home since 2000, was popular during the 2010 State. Therefore, this study is suggesting workarounds necessary adjustments due to changes in population structure, analyze news coverage of members of households with housing demand and housing as a base quantity change in the future of furniture and home situation changes, including housing demand and supply to purpose. Specify the range of Daegu-City research studies range, national statistical data and related literature, comparative analysis of time trends and derive a conclusion.

• 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.

• Human Ecology Research
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• v.59 no.1
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• pp.127-141
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• 2021

This study evaluates the financial status of Korean households using Household Financial Composite Index (HFCI) proposed in the preceding study. We analyzed 1,566 households with four persons aged 30-59 using raw data from the Korea Labor Panel Survey in 2016. The analysis results are as follows. First, HFCI was found to be 57.0 out of 100. Growth Index as one of three subindices was 11.1, which was significantly lower with 65.0 points for Status Index and 61.1 points for the Stability Index. Second, for households with male household owners, the overall financial score was 57.0, while that with female owners was almost similar with 57.2. HFCI was similar for the owner's age groups, but for Status Index, 58.5 for 30s, compared with 66.1 for 40s and 67.1 for 50s. The higher the education level of household owners, the better HFCI, with 53.2 high school graduates and 64.8 graduate graduates, showing a high gap of 11.6 points. HFCI for households living in owned housing was highest at 60.0, while that for rented housing was 40.7. Third, after controlling other effects, it was found that HFCI differed according to the level of education and ownership of housing living. Householder's gender was not found as a significant factor on HFCI. Status Index The 40s and 50s was higher than those in their 30s. Fourth, households were divided into three groups based on HFCI, named as risk, average and secure groups. HFCI for the risk group was 26.8, which was lower than 78.6 for the secure group, with a Status Index of 19.3. Households in their 50s and graduate school graduates were significantly included in the list of secure groups than others.