• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1857-1862
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• 2012

To assess the impact of household income and economic recession on participation in CRC screening, we estimated annual participating proportions from 2007 to 2009 for different CRC screening modalities according to household income levels. A total of 8,042 subjects were derived from the fourth Korean National Health and Nutrition Examination Survey (KNHANES IV). Multivariate logistic regression analysis was used to estimate odds ratios and 95% confidence intervals for CRC screening with household income quartiles by gender in each year. People were less likely to attend a high-cost CRC screening such as a sigmoidoscopy or colonoscopy independent of the income quartile during the economic recession. Income disparities for participating in opportunistic cancer screening appear to have existed among both males and females during the three years (2007-2009), but were most distinctive in 2009. An increase in mortality of CRC can therefore be expected due to late detection in periods of economic crisis. Accordingly, the government should expand the coverage of CRC screening to prevent excess deaths by reducing related direct and indirect costs during the economic recession.

• Health Policy and Management
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• v.17 no.3
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• pp.50-67
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• 2007

This study investigated income elasticity of household health expenditures and differences by income level from 1998 through 2003. Data from Korean Labor and Income Panel Study was used for empirical analyses. To estimate the income effects on health expenditure, the two-part model was employed: a logistic regression for any health expenditure-first part-and a Ordinary Least Square regression for health expenditure conditional on any spending-second part. To estimate income elasticity, both health expenditure and income were log transformed in the second part. In addition, the random effects(RE) model was used for a longitudinal panel which was continuously followed from 1998 through 2003 to estimate income effects on health expenditures controlling for within and between unobservable household characteristics. Furthermore, difference in income effects on health expenditure across income level was investigated. Although income slightly increased odds of any health expenditure, there was not no table differences across income level. Income significantly increased health expenditures during study period(overall income elasticity: about 0.2) and the highest 20% income group presented higher income elasticity than the lowest 20% income group.

• Journal of Families and Better Life
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• v.20 no.5
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• pp.87-98
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• 2002

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.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.411-419
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• 2016

This study tried to find the relationship between household income level and medical expense to household income ratio. For data analysis, it used 2010 and 2011 yearly data beta version of Korea Health Panel, co-managed by Korea Institute for Health and Social Affairs and National Health Insurance Corporation. To find out how the effect of independent variable changes in 2010 and 2011, the interaction effect between year and independent variable was examined, and separating the factors that showed interaction effect into each year, linear regression analysis was conducted using generalized estimating equations method. As a result of reviewing the factors that were related to medical expense to household income ratio among the people who used medical services, it was found that the higher the household income level, the lower the medical expense. It indicates that policy measures are needed to lessen the medical burden of low-income families.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.81-95
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• 2008

This paper examined the impact of psychological characteristics of consumers on household debt decisions. With the use of the Heckit models (the traditional approach to the selection problem) this study undertook an empirical study of the influence of a wide range of factors on financial decisions. This study used U.S. household-level data that offers detailed information on household debt, expectations about future income, expectations about future economic conditions, the amount of financial risk the respondent was willing to take, and the amount of time allotted for planning family savings and spending. This study showed that respondents with both substantial financial risk tolerance and positive expectations about future income were likely to have larger household debt showing that researchers and policy-makers need to consider consumer sentiment and preference measures in modeling behavior in credit markets. Additional results showed that household debt is significantly related to two key economic variables: income and net worth.

• Journal of the Korean Home Economics Association
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• v.20 no.4
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• pp.125-132
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• 1982

The purpose of this study was to see that how about the variables of homemaker's age, marital periods, children numbers, homemaker's employment, family types, house types, family income, homemaker's education level, and the convenience of kitchen and laundry influence on homemaker's household preferences. On this study, the household tasks were classified into the tasks on Care of clothes, Mal preparation and clean-up, Care of the house, Care of the family members, and Marketing and record keeping. Questionaires were given to randomly selected homemakers in Busan in July, 1982. Data from the 736 respones were analyzed according to Multi regression and T-test. The results were as follows: 1. The variables affecting the homemaker's household preferences were marital periods, family income and the convenience of kitchen and laundry. Longer the marital periods, higher the family income and more feeling the convence were taken higher preferences on household tasks. 2. The variable of age was less significantly related to the homemaker's household preferences than the marital periods. 3. The variable of house types was less significantly related to the homemaker's household preferences than the convenience of kitchen and laundry.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.71-86
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• 2010

The purpose of this study was to find the characteristics of university education expenditure and how university education expenditure affected household finance such as total household expenditure after excluding education expenditure, savings, and debts respectively. The data were drawn from the 8th Korean Labor & Income Panel Study conducted by the Korean Labor Institute, and 563 households with children attending university were selected. The t-test, F-test (Duncan's multiple range test as post hoc test), OLS, and Heckman's two-step estimation were utilized by SAS 9.1 and SPSS 12.0 for Windows. The results were as follows: First, average annual tuition was found to be 6,170,000won(21.5% of total annual household expenditures) and average annual private education expenses were 4,920,000won(15.9% of total annual household expenditures). Second, the higher the household income levels, the more spent on university education, whereas the higher the household income level, the lower the household expenditure-to-university education ratio. Third, tuition and private education expenses had a negative impact on household expenditures after excluding education expenditure.

• Journal of Families and Better Life
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• v.23 no.6 s.78
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• pp.53-65
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• 2005

The purpose of this study was to investigate the working married women's perception on the effect of work on household economy. The household economy was examined in three aspects; income, assets, and consumption patterns, along with the contribution and the satisfaction of working married women with respect to their income by work Four hundred thirty working married women with the first child of less than middle school were surveyed, with questionnaires from March 25 to April 22 of 2005, and analyzed with descriptive statistics. The results were as follows: the reasons of working married women for work were making an affluent living, showing their ability, wanting for work, and making a living in order. The perceived degree of their income contribution to household income was on the average about $42.53\%$. They perceived the spending in time-saving consumption items, child-rearing consumption items, and personal consumption items to be decreased, if they were not working. Their work was helpful in saving, insurance and investment, debt payment, money for old life, money for housing, money for emergency. About $69\%$ of working married women perceived their income contribution to their household income as being high.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.95-120
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• 2015

This study aimed to investigate the levels of assets and income of male- and female-headed households. A series of analyses of data from the 2013 Korean Household Finance and Welfare Survey on the economic resources of single-parent households were conducted. One of the major findings was that in a comparison between male-headed households and female-headed households, the levels of assets and income in female-headed households were lower than those in male-headed households. The labor income in male households was almost two times higher than that in female households. Housing conditions with respect to male households were more secure and better than those in female households. The factors influencing the levels of economic resources in single-parent households varied in terms of the type of economic resources. Gender, employment status, family characteristics and household income were statistically significant factors with respect to the levels of assets in single-parent households. The level of household income was influenced by gender, education, employment status and the number of household members. The effect of employment status on housing conditions was significant.

• Health Policy and Management
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• v.28 no.1
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• pp.95-97
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• 2018

Catastrophic health expenditure refers to when a household spends more than 40 percent of disposable income for out-of-pocket-expenses for healthcare. This study investigates the percentage of South Korean household which experienced the catastrophic health expenditure between 2006 and 2016 with the National Survey of Tax and Benefit and the Household Income and Expenditure Survey data. Percentage of households with the catastrophic health expenditure and tread tests were conducted with weight variable. The results of the National Survey of Tax and Benefit and the Household Income and Expenditure Survey showed 2.17% and 2.92% of households experienced the catastrophic health expenditure in 2016. In trend analysis, the National Survey of Tax and Benefit showed a statistically significant decreasing trend in the proportion of households with the catastrophic health expenditure (annual percentage change [APC]=-4.03, p<0.0001). However, the Household Income and Expenditure Survey revealed a statistically significant increasing trend (APC=1.43, p<0.0001). In conclusion, this study suggests that optimal healthcare alternatives are needed for the catastrophic health expenditure and monitoring low-income households.