• Journal of Families and Better Life
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• v.28 no.6
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• pp.195-205
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• 2010

households using the 2007 Korean Retirement and Income Study. Elderly households were classified into three groups based on the comparisons among the costs of living and then the factors influencing the probability of belonging to each group were investigated using multiple logistic regression models. The major findings are as follows. Firstly, the subjective adequate cost of living was the highest and the subjective minimum cost of living was the lowest. The actual cost of living was in between. Secondly, 42.6% of elderly households belonged to Group1(whose actual cost of living was less than the subjective minimum cost of living), 30.0% was classified into Group2(whose actual cost of living was greater than the subjective minimum cost of living but less than the subjective adequate cost of living) and the actual cost of living of the remaining 27.4% was greater than the subjective adequate cost of living(Group3). Thirdly, income was the strongest factor influencing the probability of belonging to each group, but the influencing factors were different for the logistic models for Group1 and Group3 based on Group2.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.139-152
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• 2002

This study was performed to estimate living cost for the elderly couple living in a city in Korea. Living cost means expenditure per month for elderly couple. It was assumed that the elderly couple will need different living cost according to their circumstances. The circumstances are health status, retirement status, and the level of living they want. The subjects were the elderly couple households over the age 65 of household head. Total number of subject was 1,649 households. Used data was Annual Report surveyed by National Statistical Office on the Family Income and Expenditure. Analysis of data was done through frequency, percentage, means, median using SAS Program. The results of this study were as follows: Their standard living cost was 844,980 won by pure relative standard line and 842,300 won by quasi relative standard lines. And minimum living cost was 713,400 won by the former, by the latter was 557,600 won (3/2 of median). And abundant Living cost was 1,068,020 won by the former, by the latter 1,263,450 won. The living cost of elderly households was about 81-83%, comparing with non-elderly households. Among the item of expenditure, the proportion of housing and medical care cost was larger than any other items.

• Korean Journal of Human Ecology
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• v.24 no.2
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• pp.237-253
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• 2015

The purpose of this study was to examine the relative deprivation of the households in poverty, comparing with the households in non-poverty, and to find out the characteristics of household groups by the level of relative deprivation. The data for this study was from the 6th Korea Welfare Panel Survey(KOWEPS), consisting of total 5,552 households. The results are as follows: There were statistically significant differences in the objective cost of living, the subjective minimum cost of living, and the subjective adequate cost of living between households in poverty and households in non-poverty. There was statistically significant difference in the relative deprivation between households in poverty and households in non-poverty. Poverty was the factor for the relative deprivation of households.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.137-148
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• 1997

The purpose of this study is to set the various cost-of-living standards utilizing a published national data. 1995 annual data, The Family Income and Expenditure Survey, were used to set the standards of living. Four index reflecting health and decency level, normal level, minimum of health and decency level, and pauper level were suggested and the cost-of-living of each level were estimated. Results showed that cost-of-living estimated in this study were not quite different from those of former studies, but the name of the standard-of-living need to be changed.

• 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 Families and Better Life
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• v.18 no.1
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• pp.43-52
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• 2000

The purpose of this study was to investigate the levels of subjective cost-of-living and its determinants. 328 housewives who live in Seoul were selected as the sample of this study and surveyed by questionnaire method. Results showed that the mean value of subjective cost-of living was 1,280 thousand won for the poverty level of living 1,990 thousand won for the standard level of living and 3,020 thousand won for the sufficient level of living. The determinants of the level very with the level of the living however the actual level of consumption expenditures and the education level of respondents were positively related with all three levels of the subjective cost-of-living while the self evaluation for own life was negatively related with them.

• Human Ecology Research
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• v.52 no.6
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• pp.617-627
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• 2014

The purpose of this study was to investigate the effects of the instrumental activities of daily living (IADL) and depression on the life satisfaction of the rural elderly. The research subjects of this study were 1,000 people aged 65 years and over living in the rural areas of Korea. The data were collected using a questionnaire with direct interviews and analyzed using SPSS ver. 18.0 for Windows. The results of this study were as follows: First, the rural elderly's depression was affected by the IADL, cost of living, education level, and farming variables. The higher the IADL, the more sufficient the cost of living, the higher the education level and the more the farming time that the rural elderly had, the lower was the level of depression that they had. Second, the life satisfaction of the rural elderly was affected by the cost of living, depression, IADL, need for life services, and gender. The more sufficient the cost of living, the lower the level of depression, the higher the IADL, the less the need for life services, the higher was the life satisfaction that they experienced. Third, the results of the path analysis revealed that life satisfaction was influenced both directly and indirectly. The factors that affected life satisfaction directly were the cost of living, IADL, need for life services, and gender. The factors that affect life satisfaction indirectly were the IADL, cost of living, education level, and farming. Among them, farming and education level influenced life satisfaction indirectly through the parameter variables of depression.

• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.45-68
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• 2012

This study performed an analysis to determine if an individual can maintain the current consumption, in the case of a single retired elderly person's household using the accumulated assets. Assets are divided into three types, based on the behavioral economics life cycle hypothesis : financial assets, real assets excepting residential assets, and residential assets, and it is assumed that these assets were used on a step-by-step basis. Also, if the assets were sufficient, the maximum withdrawal amount was calculated. The results of the analysis are as follows. First, the monetary assets were sufficient to cover the cost of living for 2.7 years, 6.4 years by using the real assets of the non-occupied housing, and 26.3 years in the case of residential property. Second, in the case of preferentially using the financial assets, 4.4% of the sample households were able to cover the cost of living. Households that were not able to cover the cost of living used the next-stage assets, real assets of the non-occupied housing. Households that were not able to cover the cost of living by financial assets liquidated the real assets with the exception of residential assets and used these to cover the cost of living. A total of 4.8% of the households were able to maintain the current cost of living through the second stage and 25.5% supplemented their funds by using residential assets. That is to say, 35% of the sample households were able to maintain the current level of living by using their assets.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.169-181
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• 2010

The purpose of this study was to identify the effect of living cost reduction through social welfare services and programs and to suggest the further ways of saving living cost for low-income households. For the research purpose, low-income household type was divided into three representative groups such as senior household, household with school-aged children, and household with the disabled based on the literature review. Four case households which live in permanent rental apartment in Seoul were selected as research subjects. During March 14~April 10, 2010, each household was interviewed to examine the details of monthly income and expenditure structure and types of welfare services receiving. Although some differences exist among cases, there was a definite living cost reduction effect through welfare services and programs from 12% to 150%. Household with school-aged children required diversified education programs corresponding to the children's age. Meanwhile, households including senior and the disabled indicated the necessity of convenient transportation system.

• Journal of the Korean Dietetic Association
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• v.4 no.2
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• pp.245-253
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• 1998

In this study, the food cost for the urban worker's living expenses was estimated for the Korea Labor Union. The urban workers living expenses are minimum of healthy and decency level expenses with allowances for minimum quality of life. Thus, the food cost should be enough for purchasing proper kinds and amount of foods which can supply sufficient nutrient to maintain health and which should reflect current food consumption patterns. To estimate the food cost, the Korean Recommended Dietary Allowances was used to calculate the amount of nutrients which should be supplied. The National nutrition survey and the Food balance sheet, were used to estimate the current consumption patterns for the kind and amount of food. To estimate price for each food item, the market survey was executed in six large cities. Also, to verify the estimated food cost, actual food costs were surveyed. For 5 kinds of model household, dietary allowances were calculated for the each nutrient. Using the Korean food guides, the number of serving for each food group were decided for the model households. In each food group, the amount and kind of foods were decided by the current food consumption pattern. The kind and amount of food were adjusted by the amount of calculated nutrient. When the amount of nutrient was between 90% and 110% of the recommended dietary intake, it was accepted. With these amount and kinds of foods, the food cost were calculated using the market survey. Considering extra expenses for the eating-out and processed foods, extra expenses are added. As a results, for single person family, the estimated food cost was 149,210won per month. For two, three, four and five person family, the estimated food costs were 245,179won, 381,182won, 501,669won and 687,980won per month, respectively. The estimated food cost were lower in the single and two person family than the actual food cost by the survey. The cost for eating-out gave major differences. In the future, to estimate food cost, the food consumption patterns for the different kind of household, sex and age should be studied carefully. Also, the pattern of eating-out should by analyzed.