• Environmental and Resource Economics Review
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• v.11 no.4
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• pp.609-632
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• 2002

국민소득이 빠르게 증가함에 따라 1990년대 이후 가정용 난방연료의 소비구조 역시 크게 변화하고 있다. 본 연구는 에너지 및 교통수요분석에 많이 사용되는 Multinomial Probit 모형을 이용하여 가정용 난방연료의 선택 행태를 분석하였다. 모형의 추정방법으로는 베이지안(Baysian) 방법론에 의한 Gibbs Sampling기법 (McColluch et al., 2000)을 이용하여 Multinomial probit 모형에서 선택대안이 3개 이상일 경우 발생할 수 있는 추정상의 어려움을 극복하였다. 한국가구패널조사(KHPS) 자료를 이용하여 서울과 경기도 대도시 지역을 대상으로 분석한 결과, 석유와 천연가스가 연탄에 비해 더 밀접한 상호 대체관계를 가지고 있는 것으로 나타났다. 또한 소득이 높은 가구일수록 천연가스에 대한 선호도가 더 높은 것으로 나타나서 향후 공급망 확대에 따라 난방연료용 가스 소비가 더욱 늘어날 것으로 예상된다.

• Journal of the Korean Home Economics Association
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• v.36 no.7
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• pp.57-67
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• 1998

This study was to compare the financial status between elderly households - retired vs employed. The sample obtained from 1994 KHPS, and consisted of 628 Korean aged households who are currently married. Statistics employed to analyze the data are mean, frequency, percentile, t-test, and relative-ratio. The results of this study were as follows ; In income sources, earned income was majority of employed households, but the percent of unearned income was greater than retired households. While the percent of cloth, education, recreation expenditures were high in employed, and medical, housing expenditures wee high percentage in retired. The percentage of real asset(housing) was majority of total asset in two groups. And the percentage of safe liquid asset of retired households was relatively higher than employed households.

• Journal of Family Resource Management and Policy Review
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• v.26 no.3
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• pp.49-64
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• 2022

This study aims to investigate unmet healthcare needs due to economic or non-economic difficulties among the elderly aged 65 or older. Using Korea Health Panel Survey (KHPS) data from 2018, the elderly are classified into one of four groups (health insurance subscribers, non-take-up, lower income relief, and medical aid recipients) based on their level of medical vulnerability. For hospital or dental care, the prevalence rates of unmet healthcare needs due to economic and non-economic difficulties are 12.6% and 10.6%, respectively. The prevalence rate of unmet healthcare needs due to economic difficulty in the medically vulnerable group was much higher than that of the non-vulnerable group-that is, health insurance subscribers. After controlling for other influential factors, medical vulnerability has a great impact on the prevalence rates of unmet healthcare needs due to economic difficulties. Compared to health insurance subscribers, the non-take-up, the lower relief, and the medical aid recipients are 1.4 times, 3.3 times, and 2.4 times more likely to experience unmet healthcare needs due to economic difficulty, respectively. The results of this study can provide important policy implications for securing essential healthcare resources for the elderly.

• Journal of Families and Better Life
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• v.20 no.2
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• pp.113-122
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• 2002

This study compared the financial status between the employed-elderly households and the unemployed-elderly households, focused on income adequacy, expenditure adequacy and net wealth adequacy. Using data from 1997 KHPS, the lower financial status of the unemployed elderly households were found. Nine measures of financial status were used : income, per capita income, income-to-needs ratio, expenditure, per capita expenditure, expenditure-to-needs ratio, net wealth, net wealth-to-income ratio and net wealth- to-expenditure ratio. The results of this study showed that unemployed elderly households had 68%~77% of income adequacy and 72%~83% of expenditure adequacy for employed elderly households. Holding for gender, age, education, earners in the household, living area and home ownership constant, although the gap was getting smaller, significant differences between the unemployed-elderly households and the employed-elderly households were persisted. The result of this study indicated that the unemployed-elderly households and the employed-elderly households can not be regarded ac homogeneous group when public policies are developed.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.65-79
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• 1998

The purposes of this study were to establish a conceptual model on the woman's labor force participation and mobility in the labor market and to analyze the correlation between them. Included in those models were two independent variable sets. The one was related to household's financial conditions and the other was associated to the woman's role such as marital status, the number of children and the existence of young children. KHPS's national data was used and the Binomial Probit Model and Bivariate Probit Model were employed to analyse the effects of independent variables and the correlations between two dependent variables. The results of this study were as follows. The rate of women's labor force participation and the percentage of mobility willingness were 15.4% and 22.0%. Among the variables which have affected women's labor force participation were total wage income, non-wage income, expenditure on children's education and the subject judgement of their financial status. The existence of children under the age of 6 and marital status had significant influences on women's mobility willingness. The correlation between women's labor force participation and mobility willingness was very significant statistically. These findings clarified the status of woman as a secondary worker and pointed that a woman's economic activity would be subject to the woman's condition rather than her human capital.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2713-2717
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• 2014

Background: Cancer imposes significant economic challenges for individuals, families, and society. Households of cancer patients often experience income loss due to change in job status and/or excessive medical expenses. Thus, we examined whether changes in economic status for such households is affected by catastrophic health expenditures. Materials and Methods: We used the Korea Health Panel Survey (KHPS) Panel $1^{st}-4^{th}$ (2008-2011 subjects) data and extracted records from 211 out of 5,332 households in the database for this study. To identify factors associated with catastrophic health expenditures and, in particular, to examine the relationship between change in economic status and catastrophic health expenditures, we conducted a generalized linear model analysis. Results: Among 211 households with cancer patients, 84 (39.8%) experienced catastrophic health expenditures, while 127 (40.2%) did not show evidence of catastrophic medical costs. If a change in economic status results from a change in job status for head of household (job loss), these households are more likely to incur catastrophic health expenditure than households who have not experienced a change in job status (odds ratios (ORs)=2.17, 2.63, respectively). A comparison between households with a newly-diagnosed patient versus households with patients having lived with cancer for one or two years, showed the longer patients had cancer, the more likely their households incurred catastrophic medical costs (OR=1.78, 1.36, respectively). Conclusions: Change in economic status of households in which the cancer patient was the head of household was associated with a greater likelihood that the household would incur catastrophic health costs. It is imperative that the Korean government connect health and labor policies in order to develop economic programs to assist households with cancer patients.

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.

• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.1-11
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• 1999

This study was to compare the income and financial assets of the Salary Earner and those of Self-Employed households. The data was drawn from the Korean Household Panel Study(KHPS) that was surveyed by Daewoo in 1995. The major findings were as follows: 1. All households were holding salary/business income, and the average of salary/business income of Salary earner household and Self-employed household were found to be 1,580,000 won and 2.050,000 won respectively. 2. Households were holding saving accounts most in both groups. 3. The yearly financial income, yearly immovable property income, and the yearly annuity income were correlated with yearly subsidiary income. The yearly financial income were correlated with the yearly annuity and yield from bonds. There were negative relationships between the yearly annuity and yield from bonds. The yearly miscellaneous income was correlated with the yearly yield from stock. There were negative relationships between the yield from stock and bonds in Salary-Earner households. 4. The yearly subsidiary income and yield from bonds were correlated with monthly business income. The yearly annuity and yearly total amounts of saving accounts were correlated with yearly subsidy income. The immovable property, the yearly yield from stock and bonds were correlated with the yearly financial income. The yearly yield from stock and bonds were correlated with the immovable property and the yearly annuity income. The yearly misellaneous and total amounts of saving accounts were correlated with the yearly yield from stock and bonds. The Yearly yield from stock was correlated with yield from bonds in Self-Employed households. (Koran J of Human Ecology 2(l) : 1-11, 1999)

• Journal of the Korean Home Economics Association
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• v.36 no.10
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• pp.179-196
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• 1998

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.

• Journal of Korean society of Dental Hygiene
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• v.20 no.6
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• pp.809-817
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• 2020

Objectives: This study aimed to analyze the relationship between socioeconomic factors and the unmet dental care needs of the living alone and living with family elderly groups to confirm the differences in their influence. Methods: Data from the Korea Health Panel Study of 2016 were used to analyze a total of 4,987 individuals: 4,008 in living with family group and 979 in living alone group. Chi-square test and multiple logistic regression analyses were performed using SPSS Version 22 (p<0.05). Results: We observed that 16.5% and 28.3% of the participants from the living with family and living alone groups had unmet dental care needs, respectively, indicating that the living alone group had more unmet dental care needs. Income level, residential area, and healthcare security were significant factors related to the living with family group. In contrast, medical aid for healthcare security was a significant factor related to the living alone group (p<0.05). Conclusions: The results confirmed that socioeconomic factors that affect unmet dental care vary according to the living situation. Therefore, the government should identify the number of elderly individuals living alone, which is increasing annually. These individuals are vulnerable in almost all aspects, and the government should establish and implement appropriate oral healthcare policies to support them.