The purpose of this study is to investigate the effects of wife's employment status on the household expenditures of timesaving market substitutes for houseworks. Seven expenditure categories were considered such as food away from home, convenient/prepared food, housing care service, clothing care service, childcare, supplemental education, and domestic services. The data were taken from 1999 Family Expenditure Survey by National Statistical Office. The sample consisted of 29,963 households with 33.2% dual-income households. The average monthly expenditure for food away from home was 127,795 won for dual-income households, while 103.100 won for single-income households. The expenditure for childcare of dual-income households was over six times of single-income households'. Dual-income households spent over ten times of single-income households for domestic services. For most expenditure categories, households with wife working at white-color jobs spent more than other dual-income households. After being other household characteristics to be constant, wife's occupation had found to be related with the household expenditures for most market substitutes. For the expenditures on both food away from home and childcare, employed-wife households with any kind of jobs were found to have higher possibility to spend and to be spent more than non-employed-wife households. The households with wife employed at white-color jobs spent more on clothing care service and domestic services than the households with the not working. Employed-wife households had higher possibility to spend on supplemental education, but they did not spend more on the expenditure, compared to nonemployed-wife households.
Lately, rapid increase of household debt and economic change has affected cash flow of household, insolvent risk has increased by high repayment burden of the principal and interest. Previous researches was progressing various discussion, composed objective repayment burden index about household debt. But it was relatively insufficient about perception of consumer. This research compare and analysis determinants of subjective repayment burden in household debt by income quintile, using 2016 Household Financial Welfare Survey. The research result is follows. The income 1 and 2 quartile groups have the higher monthly rent and credit card loan and the housing preparation loan ratio, the higher burden on repayment of the principal and interest. The Income 3 and 4 quartile groups have the higher 60s or older and member of household and real estate mortgage loan, the higher burden on repayment of the principal and interest. The Income 5 quartile group has the higher loan ratio for debt repayment preparation, the higher burden on repayment of the principal and interest.
The purposes of this study were to examine urban household's monthly expenses for public pension and to analyze the contributing factors. Data for this study were from the 2002 Urban Household Survey and consisted of a sample of 21,093 urban households. Statistics used for the analysis were frequencies, means, ANOVA and multiple regression analysis. The major findings were as follows ; First, the average urban household monthly payment for the public pension was 104,036 won, consisting of 102,757 won for single earner households and 106,014 won for dual earner households. Second, the highest expenses for monthly public pension was urban households, followed by male household head(HH), HH's age from 41-50 years, HH's educational level was college, HH's job was public servant, family didn't live in Seoul, family w3s an extended family and family owned the house. Third, the significant factors affecting the urban household's monthly public pension were HH's gender, age, educational level, type of job, region, type of family, number of children, type of earner, monthly total income, increase of asset in a month and house ownership.
The purpose of the present study was to describe the expectation and the performance on the housework socialization of the age homemakers and to ivestigate their relationships to the demographic characteristics and the influences of other related factors. 344 homemakers who were older than 45 years and were living in Chunlabuk-do, 1990 were sampled for this study. The data were collected by questionnaire designed by the researcher and analyzed by using frequency, one-way ANOVA analysis of variance, t-test, and multiple regression analysis. The major findings were as follows ; 1) The aged homemakers' housework socialization score was higher than the average, The score of the expectation was higher than one of the present performance. Scores for the utilization of the household equipments and the utilization of employes's services were higer comparing to those for other variables of the performance and the expectation respectively. 2) There was the significant differences in the each of the present performance varibles related to th housework socialization among the following demographic varables ; Age of homemakers, years of marriage, education, residence area, types of housing, monthly income, and level of housework equipment possession. 3) There was the significant differences in the expectation on the housework socialazation among the following variables ; age of homemakers, years of marriage, education, monthly income, and types of housing. The significant differences were found in the utilization of grouped, the utilization of the commodity, the utilization of the household equipments as subvariables of housework socialization, among age of homemakers, years of marriage, and level of education, The significant differences were found in the utilization of employee's services among age of homemakers, types of family, and level of health. 4) The level of education and monthly income significantly influenced on the present performance of the house work socialization. Years of marriage, significantly influenced on the utilization of grouped, education on the utilization of the commodity.(the utilization of the producted materials) and the utilization of employee's services and monthly income on the utilization of the household equipments (the utilization of the household appliances, and equipments). The years of marriage and education significantly influenced on the expectation on the housework socialization in the order, Age of homemakers and years of marriage significantly influenced on the utilization of grouped, the utilization of the commodity, the utilization of employee's services and age of homemakers and monthly income on the utilization of the household equipments.
The purpose of this study is to investigate housewife's housework time and the expenditure for time-saving goods and service at the lifecycle stage and to identify the relationship between demographic characteristics and these two variables. The data is collected by using questionnare distributed to 412 housewives living in Seoul and around new two cities. The data is analyzed using Mean Frequency Percentile One-way ANOVA Pearson's Correlation and Regression,l The result of this research is as follows; 1. Housewife's housework time has significant relationship with the lifecycle stages (p<0.01) And the most influencial factor to it is housewife's employment and the next are domestic helper monthly household income and housewofe's age(p<0.01) 2. The expenditure for time-saving has most significiantly related to the lifecycle stages. And the other influencial factors to it are houswife's employment monthly household income and housewife's age(p<0.001) The explanatory power of al variables is 36%.
The Journal of Asian Finance, Economics and Business
/
v.8
no.2
/
pp.1237-1246
/
2021
The purpose of the research is to evaluate how education influences the income of household heads, who are young adult in rural Vietnam. In order to examine the impact of education on the households where their heads are young adults, in this paper, the authors employ two research methods. First, ordinary least squares (OLS) regression is used to study the impact of education on different groups of income; second, quantile regression is applied to find out how education influences the income of households. The dataset includes a survey of 800 young households aged between18 and 35 who are the head of agricultural farms in rural areas. The findings indicate that education has a positive impact on income of young households. Furthermore, the results prove that the longer schooling years, the higher income youth can attain. The results showed that, at the survey time (Sep 2019), the average monthly income of rural young adults who are joining the production process shows a big gap between low and high incomes. Moreover, the study has revealed that other factors positively affect the incomes, namely, joining job-related associations, land resource, hired labour, hi-tech application as well as extension of producing unit.
The purpose of this study was to investigate differences in wives' financial management behavior according to variables related employment and income, and perceived economic instability of household. Financial management behaviors were constructed with 4 sub dimensions : investment, income expenditure, risk, and debt management behavior. The subjects of this study were 225 wives. Factor analysis and MANOVA were performed for data analysis. The results of this study were as follows : First, there were signigicant differences in financial management behavior according to variables related employment, i. e. employment state of wives and husbands. Second, there were signigicant differences in financial management behavior according to variables related income, i. e. monthly income, additional income, income stability. Third, there were signigicant differences in financial management behavior according to perceived economic instability of urban household.
Journal of Family Resource Management and Policy Review
/
v.11
no.3
/
pp.45-65
/
2007
The purpose of this study was to analyze the life satisfaction of a single household head. This study examined the life satisfaction level of the single household head and analyzed the contributing factors. Data for this study were from the 7th KLIPS (7th Korea Labor and Income Panel Study), and the sample. consisted of 241 single household heads (including 83 male household single heads and 158 female single household heads). The statistics used for the analysis were frequencies, percentile, means, standardization, ANOVA, and multiple regression. The results were as follows. First, 53% of the household heads were due to their spouses' death, 34% of the household heads were single due to divorce, and 13% were single for other reasons. The average age of a single household head was 51 years, and the average education level of a single household head was 9.7 years and 70% of the single household heads were employed. Approximately 46% of the single household heads lived in small-and medium-sized cities. Second, the level of satisfaction with income, leisure, and residence of the single household head was lower than the middle level (3.0 points), while the level of satisfaction with family relationships, relatives, and social relationships was higher than the middle level (3.0 points). Third, there were differences in the life satisfaction level of single household heads in accordance with the single household head's marriage status, residence, recognition of health status, and current financial situation. Finally, significant variables contributing to the life satisfaction level of the single household head were gender, educational level, residence, monthly total income, satisfaction level of leisure, and family relationships. The most influential variable was the residence.
The purpose of this study was to figure out the wife's employment and family economic structure of urban establishing families. For this purpose 274 establishing families in Seoul and its metropolitan area were interviewed through the standardized questionnares. Finally 264 questionnares were analyzed. The major findings were as follows; 1. The 23.9% of respondents had full-time job and 12.1% had part-time job. The major reason of nonemployment was child-rearing problems. And most ofthem answered that they would have job if child-rearing problems were sloved. 2. In both full-time and part-time job wives, the employment rate of high educational level's wives was high-relatively. 3. Total household monthly income of full-time job women was higher than the ones of part-time job and full-time wives. In total monthly income of full-time job women, the rate of wife's income was about 38%. 4. The costs of clothings, the cost of traffic and the total expenditures of full-time wife's household were higher than the ones of the other households. 5. The saving rate of the urban establishing families was about 27%.
The purpose of this study is to understand the factors that influence residents' satisfaction with their housing. Resident's satisfaction is mainly influenced by two factors - one that pertains to housing and the other as per characteristics of the individual. Housing-related factors include housing types, housing tenure types, and size of floor space. Individual-related factors include household income, size, and education level. This study shows how both factors influence residents' satisfaction. Residential satisfaction is affected by the type of housing tenure (own, chonsei and monthly rent) and housing (detached housing, apartment and multi-family housing). Residential satisfaction of home owners is greater than that of chonsei renters or monthly renters. Residential satisfaction of chonsei renters is greater than that of monthly renters. Satisfaction of apartment residents is far greater than that of detached housing residents or multi-family housing residents. There is no difference in residential satisfaction between detached housing and multi-family housing residents. As total household labor income, household member, and residential area increase, residential satisfaction increase. Residential satisfaction of countryside residents is greater than that of metropolitan residents.
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