• 한국생활과학회지
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• 제8권1호
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• pp.81-93
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• 1999

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.

• 가족자원경영과 정책
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• 제22권1호
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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.

• 한국콘텐츠학회논문지
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• 제22권1호
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• pp.601-610
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• 2022

우리나라의 민간의료보험 가입자 수는 꾸준히 증가하고 있지만 그에 대한 가계부담이나 중복가입 현황에 대해서는 구체적으로 다뤄지지 않았다. 본 연구에서는 한국의료패널 2011년부터 2018년 조사자료를 사용하여 우리나라 가구의 민간의료보험 가입 현황을 살펴보았다. 또한 가구원당 민간의료보험 가입수가 3개를 초과하는 가구를 과다가입 가구로 정의하고 2018년 단면자료를 사용하여 민간의료보험 과다가입과 관련된 요인에 대해 로짓모형을 적용하여 분석하였다. 분석기간 동안 우리나라 가구의 가입 보험수는 꾸준히 증가하였으며 1인당 보험수는 2011년 1.3개에서 2018년 1.6개로 증가하였다. 1인당 보험수가 3개를 초과한 가구의 비율은 동기간 5.2%에서 10.8%로 증가하였다. 로짓분석 결과 가구주가 여성인 경우, 교육수준이 높고 고소득인 가구, 가구주 직업이 사무·서비스·판매직인 경우에 과다가입 가능성이 높아졌고, 의료급여 가구와 가구내 만성질환이 많은 가구는 과다가입 가능성이 낮아졌다. 본 연구의 결과는 향후 가구의 실손의료보험 가입의 실효성과 가계부담에 대한 심층 연구에 기초자료가 될 것으로 기대한다.

• 가정과삶의질연구
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• 제22권2호
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• pp.85-95
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• 2004

The purpose of this study was to classify the household financial strategies and find out variables affecting the type of the household financial strategies. The data of 3994 households from Korean Labor and Income Panel Study(1999-2000) were used. The major findings were as follows: (1) the household financial strategies were Residual Saver Type(44.6%), Unformal Institute Saver Type(13.3%), Financial asset Saver Type(16.7%), Real estate Saver Type(13.4%) and Diversities(12.0%). (2) The household financial strategy types were changed rapidly during short term. (3) In 3994 households, the variables which influence on the change of the household financial strategies were education, job, numbers of children, place of residence, home ownership. Similarly, in each type, the change of household financial strategies was significantly different according to the household characteristics variables.

• 한국주거학회논문집
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• 제8권2호
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• pp.49-59
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• 1997

The purpose of this study is to analyze Phenomenon of the residential movement and important factors in the city of Seoul. First, The patterns of residential location during 1975-1994 in terms of macro aspects are to be investigated. Second, Residential patterns among households based on the literature survey data in terms of micro aspects are to be indentified. Methodology applied to the study is regression analysis using 1975-1994statistical data and content analysis based on the literature survey. The results of this study are as follows : 1) The factors of residential movement in the city of Seoul are explained by the changes of the economic structure, residential environment, individual characteristics, and housing policy. That is. the development of transportation systems, the number of homeownership scheme holders, crime rates, increase of residential areas effect on the decrease of the population in the city center of Seoul 2) According to the income groups and resident characteristics, Residential location patterns are different in residential location choice and the scope of spatial migration.

• 가정과삶의질연구
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• 제8권2호
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• pp.87-100
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• 1990

This study was carried out in an attempt to establish a preliminary scale for measuring $\boxDr$Quality of Life$\boxUl$ of Korean farm households, Data from randomly selected 318 farm households through our the country were analysis. The main results of this study were summarized as follows; 1) The objective levels of living conditions were relatively low in dietary life, healthy & sanitation, and financial stability and were relatively high in family relationship, household work and housing environment. 2) The subjective satisfaction level was lowest in leisure and were relatively high in family relationship and health & sanitation. 3) A comparison of objective level of living conditions and subjective satisfaction level suggested th score of the latter were higher than the former in dietary life and health & sanitation. In the contrary to this, the scores of the former were higher than the latter in housing environment, household work, child education, leisure and family relationship. In particular, the score of the subjective satisfaction level were much higher in housing environment and household work.

• 대한가정학회지
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• 제39권8호
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• pp.121-136
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• 2001

The purpose of this study was to analyze the effects of financial attitudes and financial communication on financial satisfaction. For this study, in 2000, questionnaires developed by the researcher were given to 320 households in Kwangju. resulting in 262 households with usuable data. The data were analyzed by various statistical methods such as frequency, percentile, correlation analysis, t-test, Anova, Multiple Regression analysis. The major findings of this study were as follows; 1) Financial attitudes were significantly different according to age and monthly savings 2) Financial communication was significantly different according to age and financial subjective variables. 3) Financial satisfaction was significantly different according to monthly income, monthly savings, monthly living costs, debt, financial subjective variables and financial communication. The set of socio- economic characteristics variables accounted for 3% of the variance in the financial satisfaction. But the addition of subjective characteristics variables, financial attitude, financial communication resulted in an $R^2$ change of 20, 23, 26%.

• 가정과삶의질연구
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• 제29권5호
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• pp.121-140
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• 2011

The purpose of this study is to understand how the economic conditions and needs of single-parent families are different between single-mother and single-father families, and also how they are dependent on household composition. The data for this study were drawn from the 1st Korea Welfare Panel Study and analyzed by frequencies, means, ${\chi}^2$, t-test, F-test, and logistic regression with the STATA 9.1 program. The major findings are as follows: (1) Single-parent families are more likely to live in a three-generation household than married couple families. (2) The composition of a three-generation household of single-parent families is affected by sex, age, education, type of marital disruption, the type of employment of single parents and the age of the last-born child. (3) The income-to-needs ratio is not significantly different depending on the sex of the single parents and their household composition. However, material hardship is significantly low in three-generation household single-parent families. (4) There are differences between three-generation single-parent families and independent single-parent families in income sources: The ratio of public transfer to total incomes is higher in three-generation households than independent households, while the ratio of private transfer to total incomes is higher in independent households.

• Human Ecology Research
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• 제57권1호
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• pp.51-71
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• 2019

This study analyzed the poverty rate by poverty dimension, correlation between multidimensional poverty, variables that affected the number of poverty dimension and the probability of the poor or not. The sample consisted of 6,361 elderly households (1,561 baby boom birth cohort, 1,793 post-liberation birth cohort, 3,007 Japanese colonial period birth cohort) taken from the $12^{th}$ Korean Welfare Panel Study. First, the highest poverty rate among the baby boom birth cohort was 62.8% of employment poverty. The highest rate among the post-liberation birth cohort and Japanese colonial period birth cohort, was 82.5%, 92.3% of health poverty, respectively. Second, the highest coefficient in the baby boom birth cohort was .354 for asset poverty and relation poverty. In the remaining two cohorts, the coefficient for asset poverty and relation poverty was the highest at .268, .284, respectively. Third, the average number of poverty dimensions was 2.318 of the baby boom birth cohort, 2.921 of the post-liberation birth cohort, 3.564 of the poverty in the Japanese colonial period birth cohort. Also, the poverty rate for each cohort was 20.179%, 28.779%, and 50.083%, respectively. Fourth, the significant variables in all cohorts were gender, education, marital status, residence, and equalized ordinary income for the multiple regression analysis on the number of poverty dimensions. Additionally, age of the post-liberation birth cohort was significant, age and family numbers of the Japanese colonial period birth cohort were significant. Significant variables in logistic analysis on the probability of poverty or not were the same as those of regression analysis.

• 한국컴퓨터정보학회논문지
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• 제27권6호
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• pp.23-31
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• 2022

최근 코로나 19가 유행하고 더불어 고령화 시대와 1인 가구 증가로 인해 가구 구성원이 집에서 다양한 활동을 하며 머무는 시간이 매우 증가하였다. 본 연구에서는 노인을 포함한 1인 가구의 구성원들의 이상 징후를 탐지하기 위한 알고리즘을 제안한다. 홈 CCTV를 통한 영상 센서 알고리즘, 스마트폰에 내장된 가속도 센서를 이용한 활동 센서 알고리즘 및 2D LiDAR 센서 기반의 LiDAR 센서 알고리즘을 이용한 사람의 움직임 및 낙상 탐지 결과를 기반으로 이상 징후를 탐지하는 알고리즘들을 제안한다. 하지만, 각 단일 센서 기반 알고리즘은 센서가 가진 한계점으로 인해 특정 상황에서 이상징후를 탐지하기 어려운 단점을 가지고 있다. 그에 따라 단일 센서 기반 알고리즘만을 사용한 것보다 다양한 상황에서 이상 징후를 탐지하기 위해 각 알고리즘을 결합하는 융합 방식을 제안한다. 우리는 각 센서로 수집한 데이터를 통해 알고리즘들의 성능을 평가하고, 특정 시나리오들을 통하여 알고리즘 하나만 사용하여 정확한 이상 징후를 탐지할 수 없는 상황에서도 융합 방식을 통해 서로 보완하여 정확한 이상 징후를 효율적으로 탐지할 수 있음을 보여준다.