• Journal of Labour Economics
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• v.38 no.3
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• pp.23-51
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• 2015

This paper estimates the effect of household size and its changes on income inequality. Household formation is an important inequality-reducing mechanism through income pooling and collective consumption. The increase in small households, reflecting lower fertility rate and the increase in both nuclear and old families, has weakened the inequality-reducing effect of household formation. In contrast, additional workers in households and their income have strengthened the inequality-reducing effect of household formation. Given the increasing trend of old families, these results suggest for a balanced policy package that promotes employment and does not discourage co-habitation in order to maintain the inequality-reducing effect of household formation.

• Journal of Families and Better Life
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• v.30 no.6
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• pp.23-37
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• 2012

Using data from the 2008 Korean Longitudinal Survey of Women and Families, this study investigated the income class differences in the modes, amount of time, and expenses for caring and educating a child in early childhood. The sample consisted of 1,849 households with a child aged 6 years or less. The major findings were as follows. First, the lower-income class was more likely to rely on child care centers and less likely to use services provided by kindergarten or private education. Their total amount of time required to provide care and education for their child was about 4 or 5 hours less than that of the other income classes; this result was due to the fact that they consumed less hours for home care, kindergarten, and private education. Second, we found there were more similarities than differences between middle-income and upper-income classes in the modes, amount of time, and expenses to care for and educate their young children; however, the middle-income class used less private education than the upper-income classes in terms of usage rate and length of time. Lastly, the other variables which were significantly related with the amount of time and expenses for child care and education included mother's employment, age of the child, and having siblings, and the family size. Based on the results, implications for public policy on early childhood care and education were suggested.

• Journal of Nutrition and Health
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• v.34 no.6
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• pp.678-687
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• 2001

This study was carried out to compare the dietary behaviors and nutrient intakes among the students(13 years of age) of middle schools between in industrial complex and in non-industrial complex. The subjects of each group were composed of 192 male and female teenagers living in Ansan city in Korea, and this study was performed by questionnaire and dietary survey. As a result, mothers' education level and monthly family income were lower in industrial complex-families(ICF) than those in non-industrial complex-families(NICF). The subjects in ICF took dinner more irregularly than did those in NICF. The subjects in ICF skipped the meals often as there was no person preparing meals'. The subjects in ICF tended to take ra-myun, cookie or bread more often as a lunch, and they considered size and price of snack more imporandy when they chose snack than those in NICF. And the subjects in ICF had lower degree of flood habits and satisfaction on their meals than those in NICF. The daily intakes of calorie, vitamin B$_2$, calcium and iron of subjects of two groups were lower than the Korean RDA, and these intakes were lower in ICF than in NICF. These findings show that dietary behaviors and nutrient intakes were poor among the students of middle schools in ICF, in part it seems to be related to the fact that the group of ICF has low family income and mothers of ICF have the jobs that are finished late or irregularly. Therefore, these results underscore the need to provide the nutritional education for the students of middle schools and their mothers in ICF with respect to the importance of optimal nutrition through sound dietary behaviors during the adolescence.

• Journal of Families and Better Life
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• v.22 no.1
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• pp.169-179
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• 2004

This study investigated female-head's employment and household economic status of the single-mother households compared to those in the two-parent households using the data from the Korean Labor and Income Panel Study. Major findings are: first, female-heads showed lower educational attainment, lower labor force participation rate, lower occupational status, and lower wage rates than male-heads; second, the level of household income was as 1.3 times as the Minimum Living Cost and the level of household expenditure was close to the Minimum Living Cost; third, one-thirds of single-mother households were in poverty. Based on the results, the implications to public policy were suggested.

• 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 Families and Better Life
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• v.21 no.4
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• pp.103-116
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• 2003

The purpose of this study was to examine the economic status of retired elderly households. This study especially looked for the differences in the economic status among retired elderly households and the level of subjective financial strain. The data were drawn from the data of 2000 Korean Labor and Income Panel Study (KLIPS) conducted by the Korea Labor Institute. The major findings are as follows: 1) The levels of income in the retired households were found to be lower than those of the employed elderly households, and the transfer income took the biggest portion out of 5 income types reflecting high economic dependency. 2) The levels of expenditure were found to be similar to the minimum living cost, and the food cost at home was 41.9% of the expenditure. 3) About 40% and 27.3% of households reported that they felt financial strain due to food expenditures at home and health care respectively. 4) Ninety percent of all assets were found to be real estate, reflecting the lack of asset liquidity. Further, retired elderly households were classified as 'not at all strained financially', 'moderate', 'seriously strained', and 'extremely strained' groups according to their subjective assessment. The last two groups showed the lower level of income and expenditures than the first two groups. In particular, 26.5% of retired elderly households belonged to 'extremely strained' group and showed very serious economic problems.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.589-599
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• 2001

The purpose of this study was to analyze the relation amongst health status, health care costs. health service utilization among the low income elderly who were 60 years of age or older, earning a half of the average Korean family income. The cross-sectional descriptive survey research we conducted used families randomly sampled nationwide. The data were collected from July 12 to August 7, 1999 and the total sample was 1.259 household members (421 households). These were the major findings. 1. As for the health status. 72.4% of respondents fell ill in the last 1 month; 54% of respondents had chronic disease. 2. As for the health care cost. the cost of hospitalization and the medical treatment were 1.069,000 won and 226.000won. respectively. 59.3% of respondents experienced a burden from the monthly health care expenses. 3. As for the health service utilization for the last 3months. 28.5% of respondents didn't utilize the health service. In addition, 22.2% of respondents gave up a medical treatment because of economic situation (88.8%). 4. The statistically significant determinants of health service utilization are old age, female, living with a spouse, unemployed state, medicare, and more days sick. 5. It is shown conclusively that equity and efficacy of the health care policy are to be considered for lower income older adult.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.191-199
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• 2015

This paper studies the composition of income sources of the elderly and the difference of sources of income by the elderly characteristics. First, the results of analysis on the structure of sources of income show the average income of the elderly appears 7.7million won the consists of 3.0million won from market, 2.5million won from nation, 2.2million won from family. Income sources of the elderly are dependent on business income, property income, earned income in the market. Second, the results of differences analysis in demographic characteristics, men get a lot of income through the market and nation, while women get through families. Market income is high younger and family income is the more older. Depending on where you live, family income and national income is higher relatively urbanized. Third, the results of analysis by depending on the income, level of national income and market income is higher, while family income is high-income the case less income. Fourth, differences in health status by analysis of the sources of income have higher levels of health status and market high and lower income families rely heavily on the private sector, such as can be seen. Therefore, market and family income is higher than another countries. and the complement of public income support system is required for vulnerable people.

• Journal of the Korean Dietetic Association
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• v.17 no.4
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• pp.416-428
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• 2011

This study was carried out to investigate the effects of breakfast service on nutritional status, hematological status, and attentiveness of children in low-income families. The subjects were 19 boys and 13 girls between 7 and 11 years old. The subjects were divided into a control group and a breakfast service (BS) group, in which 12 boys and 5 girls received breakfast from February 1 to December 31, 2010. The results can be summarized as follows: intakes of energy, protein, carbohydrate, calcium, iron, zinc, vitamin A, vitamin $B_2$, niacin, and vitamin C in the BS group were significantly higher than those in the control group. In the BS group, the intakes of calcium, folic acid, and vitamin C were lower than 75% of recommended intake levels. There were no significant differences in the total blood protein level and total cholesterol level between the BS group and control group. A blood albumin level was significantly higher in the BS group than in the control group. Systolic blood pressure was higher in the BS group than in the control group, whereas the diastolic blood pressure showed no significant difference between the groups. A dietary attitude score increased according to breakfast service and nutritional education. No significant differences were found in the capacity value and continuity value between the two groups, but the control value was significantly higher in the BS group than in the control group. Therefore, to sustain the effect of breakfast service and improve nutritional status for children skipping breakfast in low-income families, nutrition intervention services, as well as legal and financial support by the government should be provided.

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.39-51
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• 2008

The objectives of this study were to analyze the socio-economical factors related to smoking and drinking behaviors using the Korea Welfare Panel data. The key variables were sex, age, frequency of health and medical facilities visit, subjective health level, smoking level, drinking level, depression symptoms, and low income level. Since the health variables in the Welfare Panel data were limited, the analysis was exploratory. In male population of those older than 30 years old, low income group people were more likely to smoke cigarettes than the general income population. In the result of the Chi square analysis, the smoking rate showed significantly different relationships with the different age groups, gender and income level. According to the descriptive analysis, persons with low income level were more likely to experience health risk behaviors and showed more medical service utilization. The utilization of the local public health centers was 4.6% for the Bow income level and 1% for the general level. The higher smoking rate was associated with the younger age, and the lower income. The smoking rate in the age category from 20 to 29 was 23.3% for the general level and 25% for the low income level. On the other hand, the drinking rate was even higher in the general families. The rates of non use of alcohol was 36.7% in the general families and 58.4% for the low income families. For both smoking and high risk drinking issues, demographic and sociological variables such as sex, age, education levels and income levels were analyzed, and there wer significant relationships. Health risk factors were serious for males, with age groups of 20's and 30's, lower education level, and in a low income family. In general, females were more unhealthy. The rates of smoking and drinking were higher in the low income level. Even in the health and nutrition survey results in 2005, persons in the low income class were experiencing poorer health in health level or the degree of action restriction. Since the effects of the health promotion could not be measured in a short period of time, it has not been easy to create the basis for the substantial effects. Factors related to health risks needs to be continuously studied using data from diverse field.