• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제53권3호
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• pp.149-156
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• 2004

This paper deals with the effective protection method for the household electric appliances against lightning surges invading from the Power lines. Direct or induced lightning is the main cause of the breakdown of household electric appliance. The most effective protection method is to install SPDs(surge protective devices) at household electric appliances. If SPDs were not installed at most household electric appliances, it is necessary to install SPDs on the mains. Therefore the propagation aspect and protection methods of lighting surges coming into household electric appliances through the mains was experimentally investigated. The in actual-sized test circuits results of protection method for 8 household electric appliances including computer monitors and TV set could be summarized as follows: The breakdown characteristics of household electric appliances from lightning surges were significantly changed with the their input impedance. Namely, the types of input impedance are classified into infinite, resistive or inductive impedances. Especially, the monitor for computer with inductive input impedance from lightning surges was relatively weak against lightning surges. It was confirmed that the self inductance of branch circuits on the mains have protection effect for household electric appliances against lightning surges invading from the power lines. Also the varistors installed at cabinet panel or circuit-breaker were more effective than multi-tap outlet with varistors. When installed varistors in cabinet panel and multi-tap outlet together, the surge protection effect is much more excellent in technical and economical aspects.

• 산경연구논집
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• 제12권2호
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• 한국주거학회논문집
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• 제25권4호
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• pp.59-72
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• 2014

This study proposes a data-mining analysis method for examining variable multi-attribute big-data, which is considered to be more applicable in social science using a Correspondence Analysis of variables obtained by AIC model selection. The proposed method was applied on the Seoul Survey from 2005 to 2010 in order to extract interesting rules or patterns on characteristics of single household. The results found as follows. Firstly, this paper illustrated that the proposed method is efficiently able to apply on a big dataset of huge categorical multi attributes variables. Secondly, as a result of Seoul Survey analysis, it has been found that the more dissatisfied with residential environment the higher tendency of residential mobility in single household. Thirdly, it turned out that there are three types of single households based on the characteristics of their demographic characteristics, and it was different from recognition of home and partner of counselling by the three types of single households. Fourthly, this paper extracted eight significant variables with a spatial aggregated dataset which are highly correlated to the ratio of occupancy of single household in 25 Seoul Municipals, and to conclude, it investigated the relation between spatial distribution of single households and their demographic statistics based on the six divided groups obtained by Cluster Analysis.

• 한국주거학회논문집
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• 제21권2호
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• pp.123-132
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• 2010

The housing market requires customized housing to be supplied according to the various characteristics of households. Multinominal Logistic Regression was used to analyze the effects of variables of household characteristics according to the number of family members on the choice of housing size in the scope of the whole country's housing market. Analysis showed that the number of family members has its own characteristics. When a household has a smaller number of family members, there are more variables affecting choice of housing size. Living and housing expenses variables served as significant variables that affect all household types. Results showed that households with more living and housing expenses are more likely to choose a large sized house and where households have a greater number of family members, there is more influence on that choice. The age of the householder was only found to be a meaningful variable in 1-2 person households and 3-4 person households, particularly in the choice of a small or large sized house. This shows that the age of the householder does not play an important role in choosing medium sized houses for households of under 4 people, but affects the choice of small and large sized houses. The academic ability of household members also served as a significant variable. While 1-2 person households with high academic ability tend to select a large sized house, 3-4 person households with high academic ability tend to select a small sized house. It is observed that members of both 1-2 person households and 3-4 person households tend to select their house between a large sized house and a small sized house in order to own their own houses. The result of this research suggests that there are various and detailed variables on the choice of housing size. Especially, a notable result is that household characteristics more significantly affect the housing size choice of 1-2 person households, while the trend of an aging society will more significantly affect a 3-4 person households' choice of a large sized house. Therefore, a study on the choice of housing size according to characteristics of elderly households and 1-2 person households should be continually analyzed.

• 한국산학기술학회논문지
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• 제15권9호
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• pp.5564-5577
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• 2014

본 연구에서는 Price-Scaling AIDS 모형을 바탕으로 가구별 특성의 차이가 소비지출 구조에 어떠한 영향을 미치는지를 통계청 "가계동향조사" 자료를 이용하여 추정하였다. 추정결과, 서비스 품목들의 소득탄력성은 비서비스 품목들의 소득탄력성에 비해 상대적으로 큰 것으로 나타나 향후 가구소득이 늘어날 경우 서비스 품목들에 대한 더 큰 수요 증가가 예상된다. 또한 품목별 가계의 소비지출행태는 연령별, 소득수준별로 상이한 모습을 띠고 있는 것으로 나타났다. 특히, 비서비스 품목에 대한 지출비중이 높은 전통적인 가계지출구조에서 보건, 교육, 통신 등과 같은 서비스품목에 대한 지출비중이 높은 구조로의 전환이 촉진되고 있음이 확인되었다. 이와 같이 서비스품목에 대한 수요 증가로 인한 가계소비지출 구조의 변화는 관련 서비스 시장의 확대와 더불어 서비스 산업의 성장 잠재력을 더욱 확대시키는 방향으로 작용할 수 있다. 따라서 이들 분야에 대한 잠재수요 및 성장가능성에 대한 정확한 파악과 더불어 해당 서비스 시장의 형성 및 확대와 관련한 공급측의 적절한 대응이 요구된다.

• 한국생활과학회지
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• 제20권6호
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• pp.1199-1212
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• 2011

The purpose of this study is to examine how the mother's educational aspirations and household's characteristics have an effect on the likelihood of private educational expenditures and the amount of private educational expenditures. Factor analysis, probit and tobit analyses were used. The main findings can be summarized as the following: The mother's educational aspirations for intrinsic values is higher than for extrinsic values. The mother's educational aspirations for extrinsic values, household's assets, and residing in Seoul rather than residing in Incheon had significant positive effects on the likelihood of private educational expenditures. However, the child's birth order had a significant negative effect on the likelihood of private educational expenditures. The mother's educational aspirations for extrinsic values, the mother's education level, household's income, household's assets, and residing in Seoul rather than residing in Incheon had significant positive effects on the amount of private educational expenditures. However, the child's birth order had a significant negative effect on the amount of private educational expenditures. Findings from this study offer several implications. First, the mother's educational aspirations for extrinsic values rather than for intrinsic values has an effect on private educational expenditures. Unless the mother's educational aspirations have been changed to pursuing intrinsic values, the private educational expenditures cannot be reduced. Second, the polarization of the household's income and assets could bring about the polarization of private educational expenditures, which can lead to the intergenerational income polarization.

• 한국가정과학회지
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• 제6권1호
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• pp.57-66
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• 2003

The purpose of this study was to investigate the housewives' characteristics of household work management. to classify the household work manager styles and to investigate the relationship between the household work manager styles and the family life satisfaction. The data used for statistical analysis is 352 housewives. The data were analyzed by using SPSSWIN Program, $x^2$-test, one-way ANOVA With Duncan's Multiple Range test and t-test were utilized to test null hypotheses. The major findings of this study were as follows : Human centered household work management was more popular than task centered. Family life satisfaction was significantly different depending on the household work manager style. The idel style was concluded as the most desirable manager style.

• KDI Journal of Economic Policy
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• 제38권3호
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• pp.53-77
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• 2016

Financial soundness in the household sector matters for financial stability and for the real economy. The level of household debt in Korea raises concern about the financial soundness of the household sector due to its size, growth rate and quality. Against this backdrop, we assess the financial vulnerability of borrowers based on an analysis of credit bureau (CB) data, in which the actual credit activities of most individuals are recorded at a high frequency in Korea. We construct over-indebtedness indicators from the CB data and then assess the predictability of forthcoming defaults. Based on the over-indebtedness indicators, we show how borrowers are distributed in terms of over-indebtedness and how the over-indebted differ from average borrowers in terms of their characteristics. Furthermore, we show how the aggregate credit risk in the household sector would change under macroeconomic distress by analyzing how each borrower's credit quality would be affected by adverse shocks. The findings of this paper may contribute to assessing household debt vulnerability and to enhancing regulatory and supervisory practices for financial stability.

• International Journal of Human Ecology
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• 제9권1호
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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.

• 가정과삶의질연구
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• 제14권2호
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• pp.157-170
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• 1996

Even if holding debt may be a rational means for household to maximize utility under any circumstance and any time through the family life cycle most households have some difficulty to determin and keep the moderate debt amount. The purpose of this study is to identify the characteristics of household's debt and the factor associated with debt. Data used in this study consisted of 4,009 households. The results of this study were as follows; Among 4,009 households 1,400 housholds?(34.9%) owed. Age education and occupation of household header liquid and real asset and housing ownership had significant effects on whether household having debt. The real and liquid asset had significantly positive relation with the liabilities of financial agency whereas the occupation of household header liquid asset and unearned income with private liabilities. Finally age education and occupation of household header home ownership and liquid asset had significantly negative effect on the total a ount of debt while earned and unearned income and real asset had positive one.