Now in Korea, many households are facing with economic crisis. The study based on the premise that household economic status could keep as stable as before economic crisis depending on the coping behavior of housewives as a manager of household. The purpose of this study was to find the coping behavior patterns with economic crisis of housewives, and to examine the socio-demo-economic factors which influence the coping behavior with economic crisis of housewives. Major findings were as follows; (1) The principal two patterns of coping with economic crisis were active coping behavior and passive coping behavior. (2) The most frequently used coping behavior pattern was passive coping behavior. (3) The patterns of coping with economic crisis were influenced by the socio-demo-economic factors.
We use data from the Indonesian Family Life Survey (IFLS) to examine the relationship between child health and household economic resources, and find that economic resources as measured by equivalized expenditure have a statistically significant positive effect on child health and protect children from acute health conditions. We make additional use of the data (where extensive data on children's nutrition, household sanitation, the utilization of medical care, and family health status are available) to assess the mechanisms through which economic resources may affect child health. We find evidence that economic resources have a sizable and significant effect on these potential intermediary factors, and that they, particularly household sanitation, partly explain the protective role of economic resources in child health.
This study examines the relationship between social support with adult children and neighbors on the life satisfaction of elderly individuals in rural areas. The analysis employed a sample of 764 elderly individuals residing in rural area. Data were analyzed through descriptive statistics, a chi-square test, a t-test, and a multiple regression analysis. First, the respondents reported moderate life satisfaction. Those respondents living alone were less likely to report life satisfaction than those with a spouse. Second, the respondents were more likely to be in contact with their neighbors than their adult children. Third, the respondents were more likely to receive social support from adult children than provide it to them. By contrast, the respondents were more likely to provide social support to neighbors than receive it from them. Fourth, economic status and contact with adult children and neighbors had signigicant effects on the life satisfaction of the respondents. Gender, religion, economic status, health status, increased contact with adult children, and instrumental support to neighbors had positive effects on the life satisfaction of elderly two-person household.
Migration studies that assume that decision making is done on an individual basis is overlooking the importance of the family factor. Considering that must people belong to families, it is more appropriate to view migration decision from the perspective of the family. This study analyzes the household migration decision whereby the alternatives are to stay, 10 undertake family migration or to undertake single migration of a member. In developing a conceptual model of household migration decision, it is assumed that the household's objective is to maximize household income which is a function of individual members' earnings. The benefits and costs of household migration and individual migration are identified and the household chooses the migration strategy that maximizes expected household income. When household members have conflicting earning prospects in the potential destination, the household considers single migration of the member with the best earning potentials. However, lone migration by a household member involves cost of family separation which is both monetary and psychic, and this study shows that lone migration is undertaken only when its net gains to the family are greater than the separation cost of the family. The major benefit of choosing single migration is the retention of home base in the place of origin which can serve as an insurance against the uncertainty of obtaining a job in the destination, the benefit that is unavailable in family migration. The conceptual analysis shows how a household's migration decision would depend on its members' economic roles and prospects in the destination. Besides the economic variables, social and life cycle variables of the family translate into separation costs and benefits of migration. This study indicates that one - earner family in low economic status but with good earning prospects and high separation costs is more likely to choose family migration over single migration.
The purpose of this study was to analyze the financial status of Korean elderly households to make a financial plan for retirement preparation. The sample obtained from 1997 KHPS, consisted of 326 households of 55-64 aged and 210 households of 65 and over aged. Statistics employed for the analysis were frequencies, percentile, univariate analysis and logistic analysis. And Lorenz curve and Gini coefficient were used to compare the financial status. The results could be summarized as follows. First, total income, total expenditure, total debt and net worth of 55-64 aged group were higher than those of 65 and over group, while total asset of 55-64 aged group was similar to 65 and over group's Second, total expediture to total imcome ratio(R1) and total asset to total debt ratio(R4) of 55-64 aged group were higher than 65 and over group's, but net worth to minimum cost of living ratio(R2) and financial asset to monthly expenditure ratio(R3) of 65 and over group were higher than 55-64 aged group's . Third, R4's Gini coefficient was the highest and R1's Gini coefficient was the lowest among all Gini coefficients. Also, R1's and R4's Gini coefficients of 55-64 aged group were greater than 65 and over group's. ourth, variables affecting R1's stability of 55-64 aged group were household head's age, educatonal attainment and family type, while those of 65 and over group were household head's age, past economic experience and the number of children. There was no significant variable affecting R2's stability of 55-64 aged group, but there was only household head's pst economic experience affecting those of 65 and over group. The variable contributing to R3's stability of 55-64 aged group was residence while the variables of 65 and over group were household head's educational attainment, past economic experience and the number of children. The variables contributing to R4's stability of 55-64 aged group were the number of children and residence, and the number of children was one variable of contributing to R4's stability of 65 and over aged group.
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.
The objectives of this study were as follows: 1) To describe the group of selected disabled homemakers in terms of demographic and medical variables related to organizational activities in the home and family participation in household activities. 2) To identify those demograhpic and medical variables that were related to organizational activities in the home and family participation in household activities. 3) To identify relationship between organizational activities in the home and family participation in household activities. Questionnaires were given to the selected disabled homemakers living in Seoul. The sample was small(N=35) and it was not random; therefore generalizations could not be made to the population as a whole. Data were analyzed by mean, Kruskal-Wallis one-way analysis of variance by ranks, and Spearman rank correlation coefficients. Homemaker's organizational activities were measured by 16 items about physical and mental activities from Mumaw's Organizational Activities Index. Family participation in household activities was measured by 8 items about how often family members participated in two areas of household activities: house chores and extra-activities. The results were as follows: 1) The homemaker's higher organizational activities scores were associated with younger homemaker, higher the level of education, small households, and higher the economic status. The homemaker without children performed better organizational household activities. The homemaker with shorter the duration of disability performed better organizational activities. The homemaker who needed crutches for mobility performed better organizational household activities. 2) The homemaker who was younger, higher the level of education, with smaller households, and lower the economic level was helped by husband. Husband helped better the homemaker with shorter the duration of disability in household activities. 3) Factors affecting children's participation in disabled homemaker's house chores and extra-activities were the age of homemaker and the marital status. The homemaker was single and older, the children were more helpful. 4) Task standardization score was the highest among the factors of homemaker's organizational activities and families with a disabled homemaker participated more extensively than families with abled homemaker. 5) Significant intercorrelation was found between the dependent variables.
This study analyzed the objective indicators of household economic structures, such as income, expenditure, and debts, as well as a subjective evaluation of economic standards, and compared the households of commuting couples (so called Weekend couples) with those of non-commuting couples. Findings of this study are as follows. First, both husbands and wives in commuter marriages had a higher level of education, were younger, had poorer health, and had shorter working hours than the couples in non-commuter marriages. Second, commuting couples had a significantly higher income than non-commuting couples. In addition, commuting couples had a greater amount of savings, had a higher cost of living, and lower debts than non-commuting couples. Third, commuting couples evaluated their status of household economy more negatively than non-commuting couples. Despite the fact that the commuting couples were more affluent in terms of the objective indicators, including income, savings, and assets, their level of health and psychological well-being were compromised. Lastly, factors determining commuter marriages were the number of years the husband has spent in his job, and the husband's level of education. The shorter the tenure of the husband's job, and the higher the level of husband's education, the more likely the couple was in a commuter marriage.
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.
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.
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