• 대한가정학회지
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• 제42권9호
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• pp.37-51
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• 2004

The purpose of this study was to examine the effects of household characteristics on savings account, savings insurance, and private financial clubs. Data for this study were collected from the 2001 Household Income and Expenditure Survey consisting of a sample of 1,801 salary and wage earners' households. Tobit analysis was peformed to investigate savings accounts, savings insurance and private financial clubs. The results showed that 76% of households held savings accounts, 77% savings insurance, and 12% non-institutional assets in private financial clubs. Sender, age, education, job, spouse employment, family type, location, home ownership, number of children, and family income were significant determinants of investment in savings accounts, savings insurance, and private financial clubs. Family income was the most powerful variable.

• 디지털융복합연구
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• 제11권7호
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• pp.59-66
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• 2013

보험은 위험보장이라는 본래의 기능으로 세법에서 다른 금융상품보다 우대되어 왔다. 그러나 최근의 보험상품은 위험보장 뿐만 아니라 투자기능 및 저축기능이 결합된 다양한 방식으로 출시되고 있다. 더욱이 보험사의 판매방식이 절세전략, 조세회피 등과 관련된 컨설팅 등을 포함하고 있어 저축성 보험차익의 비과세와 관련된 조세정책에 비판이 제기되어 왔다. 이에 정부는 고액자산가의 조세회피방지와 타금융상품 간의 형평성 등을 위하여 2013년 소득세법 시행령 제25조를 개정하였지만 여전히 많은 문제점이 존재하고 있다. 본 연구에서는 저축성 보험차익에 대한 조세정책의 타당성을 2013년에 개정된 소득세법 시행령을 중심으로 살펴보고 이에 대한 개선방안을 도출하고자 하였다.

• 노동경제논집
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• 제25권3호
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• pp.59-86
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• 2002

Using the simulated data set which is based upon the data set merging Economically Active Population Survey(EAPS) and the Supplementary Survey (SS) in 1998-2001, this paper examines the relevance of alternative programs Unemployment Insurance Savings Account (UISA) and Pension-funded Unemployment Benefit (PUB) - to unemployment insurance system in Korea. Estimating the relative size of unemployment benefit and IA balance under a specific type of UISA or PUB by simulation, this paper yields the two main results. First, replacing UI by UISA with the same benefit being maintained would be beneficial in terms of search efficiency in general, although its effectiveness is a little doubtful as for the non-regular workers. Second, the PUB is better than UISA as an alternative to UI, and also works relatively well even for the non-regular workers.

• 한국보건간호학회지
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• 제16권1호
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• pp.1-12
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• 2002

This study, aimed to categorize pattern of impatient's families in the ICU and to provide useful data for development of family-supportive program was conducted from June, 12 to Aug., 28, using Q-method. After reviewing the literature the researcher proceeded to interview 4 impatient's families in the ICU, developed the statement from consisting of 38 items, and then 30 impatient's families in the ICU were sampled. The collected data were coded after having been scaled from 1 to 9 points, and analyzed using the PC QUANL program. Three types were identified; The first type focused on self-regret about the impatient, the second type of families had some concerns for their health, and the third type was thinking of preparing for their future-lives, such as insurance and savings. It was common to feel powerlessness, regret, compassion, grief and anxiety in all types. They wanted to be given some information, the prognosis of patient and the way to overcome. The study will offer better understanding for family-centered approach and be useful for the system of orientation about impatients and their families.

• 가족자원경영과 정책
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• 제16권3호
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• pp.153-176
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• 2012

This study gives an account of the state of baby-boomer households in regard to assets and liabilities utilizing the 2006 Household Asset Survey and the 2011 Survey of Household Finances. Using the data gathered from each year, this study examined the proportion of households who had each type of asset and liability, and the amount of them. This study also compared the amount of assets and liabilities of baby-boomer households with those of non baby-boomer households in 2006 and 2011 respectively. Finally, this study examined the amount of change and composition ratio of assets and liabilities of baby-boomer households between 2006 and 2011. Selected financial ratios were also presented for both years. Major findings are as follows. The average asset amount for baby-boomer households was approximately 296 million in 2006 and 392 million in 2011. Of total assets, 78% and 76.5% were real assets in 2006 and 2011 respectively. The average financial assets of 2006 baby-boomer households were approximately 66 thousand and the average amount of debt was 42 thousand. For 2011 baby-boomer households, the average amount of financial assets was 92 thousand and the average amount of debt was 73 thousand. Results from the 2011 survey showed that baby-boomer households had a significantly higher proportion of total assets, total debt, and net worth than non baby-boomer households. The proportion of savings, saving insurance, stocks, and mutual funds were significantly higher for baby-boomer households than non baby-boomer households in 2011. In regard to financial ratios, the emergency fund index and debt burden index were appropriate to the guidelines of asset quality, although the propensity to investment indexes were not.

• 가정과삶의질연구
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• 제30권2호
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• pp.137-152
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• 2012

The graying of populations is emerging as an international issue around the world, and this is a problem that is rapidly advancing in Korea as well, signaling the need for financial preparations for the aged. For this purpose, various retirement pension systems are being employed as preparatory measures for the nation's elderly. Using data from 1474 people in the 2007 panel study of National Security for the Retired, the present work attempts to look at satisfaction rates with regard to public pension receipts for the national pension and special occupational pensions according to general characteristics and factors related to the preparation for an aging society. Satisfaction with retirement pension receipts according to the type of pension was high for special occupation retirement pensions, individual retirement pensions and the national retirement pension, in that order. Looking at satisfaction rates based on the general characteristics of pension recipients, the study revealed that for the national pension, satisfaction was highest for groups with above-average physical and psychological health, groups who think appropriate living expenses for the elderly are lower, groups in which a partner also earns income, and groups who had amply prepared for their expected living expenses in later life. Regarding special occupation retirement pensions, satisfaction was high for groups over the age of 70, groups with good psychological health, and groups sufficiently prepared for their living expenses in later expenses, compared to groups for which these factors did not apply. In terms of the relative influences impacting retirement pension recipient satisfaction, satisfaction with the national pension was highest when the primary source to cover elderly living expenses was a resource other than income earned by the recipient and their partner and/or income received from children. Concerning special occupation retirement pensions, satisfaction was highest among those whose education terminated before middle school, and for those in good physical health. Based on the above results, it is vital that plans exist for preparing sufficiently for the living expenses of the elderly and for facilitating the physical and psychological health of pension recipients. Plans are also necessary to, ensure that citizens are provided with easily accessible educational programs and activities regarding general installment savings and deposits, stocks and bonds, real estate investments, individual retirement pensions, private insurance, severance pay pensions, and public pensions.

• 지능정보연구
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• 제27권1호
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• pp.83-102
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• 2021

2020년 8월 정부는 한국판 뉴딜을 뒷받침하기 위한 공공기관의 역할 강화방안으로서 각 공공기관별 역량을 바탕으로 5대 분야에 걸쳐 총 20가지 과제를 선정하였다. 빅데이터(Big Data), 인공지능 등을 활용하여 대국민 서비스를 제고하고 공공기관이 보유한 양질의 데이터를 개방하는 등의 다양한 정책을 통해 한국판 뉴딜(New Deal)의 성과를 조기에 창출하고 이를 극대화하기 위한 다양한 노력을 기울이고 있다. 그중에서 한국무역보험공사(KSURE)는 정책금융 공공기관으로 국내 수출기업들을 지원하기 위해 여러 제도를 운영하고 있는데 아직까지는 본 기관이 가지고 있는 빅데이터를 적극적으로 활용하지 못하고 있는 실정이다. 본 연구는 한국무역보험공사의 수출신용보증 사고 발생을 사전에 예측하고자 공사가 보유한 내부 데이터에 기계학습 모형을 적용하였고 해당 모형 간에 예측성과를 비교하였다. 예측 모형으로는 로지스틱(Logit) 회귀모형, 랜덤 포레스트(Random Forest), XGBoost, LightGBM, 심층신경망을 사용하였고, 평가 기준으로는 전체 표본의 예측 정확도 이외에도 표본별 사고 확률을 구간으로 나누어 높은 확률로 예측된 표본과 낮은 확률로 예측된 경우의 정확도를 서로 비교하였다. 각 모형별 전체 표본의 예측 정확도는 70% 내외로 나타났고 개별 표본을 사고 확률 구간별로 세부 분석한 결과 양 극단의 확률구간(0~20%, 80~100%)에서 90~100%의 예측 정확도를 보여 모형의 현실적 활용 가능성을 보여주었다. 제2종 오류의 중요성 및 전체적 예측 정확도를 종합적으로 고려할 경우, XGBoost와 심층신경망이 가장 우수한 모형으로 평가되었다. 랜덤포레스트와 LightGBM은 그 다음으로 우수하며, 로지스틱 회귀모형은 가장 낮은 성과를 보였다. 본 연구는 한국무역보험공사의 빅데이터를 기계학습모형으로 분석해 업무의 효율성을 높이는 사례로서 향후 기계학습 등을 활용하여 실무 현장에서 빅데이터 분석 및 활용이 활발해지기를 기대한다.