This study examined the effects of household head’s worker status change type on household income and household head’s income using a total combined sample of 2,578 households from Korea surveyed in 1998 and 2002 KLIPS(Korean Labor and Income Panel Study). Binary logit regression results showed that household incomes were likely to decrease significantly when household head’s changed worker status from a regular employee, a temporary employee or a daily worker, or an employer or a self-employed to no job status, or from a regular employee to a temporary employee or a daily worker, an employer or a self-employed, or from an employer or a self-employed to a regular employee compared to a regular employee status maintenance. In contrast, household head’s incomes were likely to increase significantly when household head’s changed worker status from a temporary to a regular employee compared to a regular employee status maintenance. Women household heads were significantly associated with the likelihood of the decrease of household head’s income compared to men household heads. Household heads beyond their forties were significantly associated with the likelihood of the decrease of household head’s income compared to household heads in their thirties age-group counterparts. Household heads with education level beyond high school graduation were significantly associated with the likelihood of the increase of household head’s income compared to household heads with the education level of high school graduation. This study shows that a more comprehesive labor policy is needed for achieving sustainable household income inflow.
Journal of Family Resource Management and Policy Review
/
v.11
no.3
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pp.45-65
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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 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.
Purpose: The purpose of this study is to identify job stress and psychological health of female household head workers and investigate the relationship between them. Methods: This study was cross-sectionally designed. We analysed the secondary data extracted from the 2nd and 3rd Korean Working Condition Survey. 4,807 female employees were included in the final analysis. $x^2$ test and multiple logistic regression using IBM SPSS 23.0 were performed. Results: 46.7% of female household head workers were in poor psychological health. In the area of job stress-related characteristics affecting the level of psychological health, it was found that female household head workers had a higher likelihood of becoming psychologically unhealthy due to organizational relationships and inadequate compensation factors. Conclusion: Considering the fact that the number of female household head workers is gradually expanding as a breadwinner, it is necessary to find a way of paying attention to their job stress and psychological health in order to support them.
The purpose of this study was to gain a better understanding of households with a negative cash flow. The Household Budget Survey conducted in 2000, 2005, and 2010 by the Bureau of Statistics in South Korea were used for this study. The households used in this study were divided into four groups according to their income levels; they were categorized the lowest, low, middle, and high income groups. This study made several findings regarding households with a negative/positive cash flow. Firstly, the demographic and economic characteristics were different between those who have a negative cash flow and those with a positive cash flow. A female household head, a household head age 65 and older, a household head with a lower educational attainment, an unemployed household head, and the presence of a child/children in schools were related with the household deficit. Secondly, the households with a positive cash flow had a higher income level compared to the households with a negative cash flow, while the households with a negative cash flow had a much higher consumption level compared to the households with a positive cash flow. Thirdly, the household deficit to total income ratio of the lowest income group was higher when compared to any other income group. Lastly, the multivariate statistics showed that households including a child/children in schools are more likely to be a household with a negative cash flow. Especially, the expenditures on education and transportation were related with the likelihood of a household deficit.
The purpose of the study was to analyze the constraints that are normally experienced before moving in the context of the household characteristics of households that had recently moved to newly-built apartments. The data for the analysis was collected through a self-administered questionnaire from July 1, 2008 to August 10, 2008. The sample consisted of 251 households in Ulsan living in an apartment complex who had moved within a year. The data from the sample was analyzed by descriptive statistics, factor analysis, and analysis of variance with Duncan's multiple range tests. The results are as follows. The constraints were categorized into information gathering, attractive housing characteristics, expectations of residential mobility, housing development and policies, and resources. Overall, the constraints did not have a huge impact on the performance of the residential mobility of the sample households. Resources, however, were the most influential factors among the five constraints followed by attractive housing characteristics, information gathering, etc. The constraints varied based on the demographic characteristics, such as the household size, duration of marriage, age of the household head, and the socio-economic characteristics, such as the education level of the household head, household income, and the number of mobility. As the number of family members increased, the age of the household head went up, or the level of education went down, the constraints on information gathering were affected in terms of performing residential mobility. Households with a middle aged head with a professional occupation were more constrained by the attractive characteristics of the housing. The impact of the resources related constraints was significantly different based on the number of family members, marriage duration, and the household head's age and occupation, and the number of mobility.
The purposes of this study were to identify education expenditure and to analyze contributing factors to total education expenditure for two children among married couples. For these purposes, total sample of 1,256 married couples those having two children of both pre-school aged and school aged were selected, and total sample was divided into four groups by first child's school aged; those were pre-school aged(375), elementary school aged(385), middle & high school aged(248) & college aged(248). Statistics used for the analysis were frequencies, means, percentile, and tobit and OLS analysis. The results were as follows. First, the households those having the first child of pre-school aged didn't spent for public education expenditure, while public education xpenditure of school aged increased continuously. The households having the first child of high school aged spent the most private education expenditure among four groups, however, total education expenditure of the households having the first child in college aged spent the most education expenditure were household head's age, family size, home ownership and financial asset amount, and elementary school-aged's factors were household head's age, education level, home ownership and total household income. Also, household head's education level, wife's expectation of future economy, residence, total household income had significant effects on total education expenditure in middle and high school-aged, and household head's job, home ownership, contact with neighborhood, residence and Engel's coefficient were significant variables in college aged.
Journal of Family Resource Management and Policy Review
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v.22
no.1
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pp.63-78
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2018
This study examined the insolvency of debtors using multiple-indicator approaches and compared the outcomes across income levels with the 2016 'Household Financial and Welfare Survey'. This study used (1) the total debt to total assets ratio (DTA), (2) the total debt service ratio (DSR), and (3) the Household Default Risk Index (HDRI) recently developed by the Bank of Korea. Households in the lowest income quintile were more likely to be insolvent than any other income group. Demographics, such as age and gender of the household head, and most of the financial variables significantly increased the likelihood of insolvency based on the DTA. The number of household members and job status increased the likelihood of insolvency based on the DSR. Also, age, gender of the household head, and most of the financial variables increased the likelihood of household insolvency based on the HDRI after controlling for other demographics and financial variables.
Journal of Family Resource Management and Policy Review
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v.3
no.1
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pp.67-82
/
1999
The purpose of this study were to examine assets investment behavior of urban households and find the factors affecting it. The data were obtained from 442 households living in Seoul. The statistical techniques used for this study included descriptive statistecs, logistic regression, multiple regression. The major findings were as follows: First, The ownership of houehold assets were affected by age, education, total income, total income, total asset, the number of income source, income stability, the financial expectations, past financial experiences and the job of houehold head. Second, amount of household assets was affected by husband’s age, education, unearned income, total asset, income stability, the expectiation of future, the past financial experiences and the job of household head. Third, ratios of household assets were affected by age, education, unearned income, family size, the number of income source and the job of household head. The findings of this study can be used by financial counseling and planning practioners and education.
Based on household characteristics, this study analyzes the sources of changes in income class. Using KLI panel data in 1998 and 2001, household equivalent income is calculated and households whose income class is changed are identified. Various household characteristics are examined to understand which characteristics are influential in income class changes. Empirical estimations are carried out by employing an ordered probit model. Region of residence, age of household head, education level of the head, the number of employed family members in 1998, and a change in the number of employed family members are shown to be statistically significant. Calculation of marginal probability based on the ordered probit estimation results show that the probability of upward movement in income class decreases as a household lives in rural areas, while the probability of upward movement increases as the household's head is better educated, the number of employed family members are higher and there is a higher increase in the number of employed family members. Age of the head has mixed results; while the probability of upward movement in income class decreases as the head gets older for the households in middle and high income classes, that probability increases as the head is in the range of the 40s and the 50s in low income class households.
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