• Proceedings of the Korean Association for Survey Research Conference
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• 한국조사연구학회 2000년도 추계학술대회 발표논문집
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• pp.201-210
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• 2000

조사연구는 소비자학에서 가장 많이 사용되는 연구방법으로 특히 통계청의 도시가계조사자료를 이용한 연구는 가계경제영역에서 활발히 수행되고 있다. 본고에서는 도시가계조사에서 발견된 문제점을 수정.보완하여 가계의 경제행위를 설명하고 예측하는데 유용하게 사용될 수 있도록 조사대상의 범위를 단독가구와 농.어가로 확대하고 소득자료의 보고를 근로자 이외의 가구에 대해서도 시행하도록 제언하는 바이다.

• Survey Research
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• 제2권1호
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• pp.129-142
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• 2001

Survey is the most frequently used research method in consumer studies. Especially. most researches related to family economic behavior. one area of consumer studies. have been performed using the data of the Family Income and Expenditure Survey(FIES) conducted by National Statistic Bureau recently. To extend the usage of the RES. it was suggested that one-person household and rural and fisherian household should be included in the sample. Information on the income of the non-wage earners should be reported as well.

• Journal of Families and Better Life
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• 제12권1호
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• pp.62-71
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• 1994

본 연구는 가계의 저축운용형태에 따라 가계저축유형을 분류하며 또한 각 저축유형 의 결정요인을 규명하고자 하였다. 분석을 위하여 국민은행이 실시한 1990년도 가계금융이 용실태조사 자료를 이용하였다. 군집분석에 의해 가계저축의 유형을 분류하였으며 가계저축 유형에 대한 결정요인을 찾기 위하여 로짓분석을 사용하였다. 가계적축은 상이한 5개의 유 형으로 분류하였으며 각 유형은 그에 해당하는 가계 저축행태의 특징에 근거하여 수익추구형, 안전지향형, 지역밀착형, 인간관계중시형 및 유비무환형으로 명명하였다. 가계저축유형별 결정요인을 유형에 따라 다소 차이를 보였으나 가계소득, 가구주의 직업, 가구주의 학력이 가장 중요한 결정요인 것으로 나타났다.

• Korean Journal of Human Ecology
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• 제1권1호
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• pp.57-68
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• 1992

1970년대 이래로 노인들의 평균적인 경제상태가 향상되어 왔지만, 상당한 수의 노인들이 여전히 빈곤할 뿐만 아니라 노인들 각자가 경험하는 경제복지는 다르다. 본 연구는 노인들이 경험하는 경제복지를 조사하고 이를 바탕으로 상이한 노인가계들간의 복지상태를 비교하였다. 경제복지는 주거비가 차지하는 가계소득에 대한 비로 측정하였다. 노인가계는 노부부가계, 노인남성가계, 노인여성가계로 구분하였다. 미국의 3,449 노인가계들이 연구분석에 사용되었다. 노인가계들간의 경제복지를 비교하기 위해 다중회귀분석이 사용되어졌다. 분석결과에 의하면 상이한 노인가계들간에 경제복지는 상당한 차이가 있었다. 특히 노인여성인 경우 경제복지가 가장 낮은 것으로 나타났다.

• The Korean Journal of Applied Statistics
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• 제22권1호
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• pp.141-151
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• 2009

According to the type of microdata, the various methods have been in use for masking microdata. Multiplicative noise is the one of popular schemes for masking continuous variables. In this paper, we introduce the method of masking based on multiplicative noise and show some results of the application on the 2006 Householder Income and Expenditure Survey (HIES) data. To create the multiplicative noise factor, we used the triangular distribution. truncated triangular distribution, trapezoidal distribution, and double triangular distribution. Also, formulas for the domain estimation for the data masked by the multiplicative noise are developed.

• Proceedings of the Korean Association for Survey Research Conference
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• 한국조사연구학회 2001년도 춘계학술대회
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• pp.129-142
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• 2001

Survey is the most frequently used research method in consumer studies. Especially, most researches related to family economic behavior, one area of consumer studies, have been performed using the data of the Family Income and Expenditure Survey(FIES) conducted by National statistic Bureau recently. To extend the usage of the FIES, it was suggested that one person household and rural and fisherian household should be included in the sample. Information on the income of the non-wage earners should be reported as well.

• Korea journal of population studies
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• 제18권2호
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• pp.115-168
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• 1995

It is a common wisdom that the long-term economic development of Korea chiefly depends not only on the steady increase of the capital formation but also on the stable increase of the national saving. And also it is a widely accepted opinion that household saving plays a significant role for the smooth supply of investment funds. For the empirical analysis on the determining factors of household saving, consumption function of the household of Korea was utilized indirectly. The reason is that consumption function is regarded as a stable function whereas saving function is considered to be an unstable function of the relevant independent variables. In order to carry out the regression process of the consumption functions, data on the family income and expenditure survey and the farm household economy survey was used. The regression result could be summarized as follows : Firstly, household income and the number of the employed in the household have the negative effect in determining the consumption ratio of the Korean households. On the other hand, ages and the educational attainment of the household heads as well as the number of the household members have the positive effect. During the early part of 21st century, the consumption ratio of the Korean households is expected to be decreased because of the increasing trend of household income, and the ever increasing number of the employed member of the household based on the increasing trend of the labor force participation rate of women and the decrease of the average size of the number of household members owing to widespread nuclear family system. On the other hand, the consumption ratio of the household of Korea is expected to be increased because of the continuous increase of the average ages of the household heads caused by the population aging phenomena and improvement of the educational attainment of the household heads. But on the whole, household saving ratio is expected to be increased owing to the secular downward trend of the consumption and therefore no significant difficulties are anticipated for the smooth provision of investment resources needed to have long-term economic progress of Korea.

• The Korean Journal of Applied Statistics
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• 제35권4호
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• pp.553-568
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• 2022

The Household Income and Expenditure Survey is a representative survey of Statistics Korea, which aims to measure and analyze national income and consumption levels and their changes by understanding the current state of household balances. Recently, the disconnection problem in these time series caused by the large-scale reorganization of the survey methods in 2017 and 2019 has become an issue. In this study, we model the characteristics of the time series in the Household Income and Expenditure Survey up to 2016, and use the modeling to compute forecasts for linking the expenditures in 2017 and 2018. In order to evenly reflect the characteristics across all expenditure item series and to reduce the impact of a specific forecast model, we synthesize a total of 8 models such as regression models, time series models, and machine learning techniques. In particular, the noteworthy aspect of this study is that it improves the forecast by using the optimal combination technique that can exactly reflect the hierarchical structure of the Household Income and Expenditure Survey without loss of information as in the top-down or bottom-up methods. As a result of applying the proposed method to forecast expenditure series from 2017 to 2019, it contributed to the recovery of time series linkage and improved the forecast. In addition, it was confirmed that the hierarchical time series forecasts by the optimal combination method make linkage results closer to the actual survey series.

• Korean Journal of Plant Resources
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• 제20권1호
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• pp.7-11
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• 2007

This study was conducted by estimate of leaf characteristics and growth performance among selected 20 families progenies of Hovenia dulcis var. koreana Nakai. Mean seedling height and root-collar diameter in whole progenies showed 61.6cm, 6.98mm, respectively. Mean seedling height of KW 2-5 family was 79.3cm and it was higher than that of other families. JN 2-2 family had highest value, 9.16mm, in mean of root-collar diameter. Growth performances of KW 2-5 and JN 2-2 families showed 57% (in seedling height), 53% (in root-collar diameter) superior to those of lowest marked families. The selection level based on growth performances, which are seedling height over 75.0cm and root-collar diameter over 8.0mm, were applied on whole families, and two families selected (KW 2-5, JN 2-2). The selection effects from selected families was evaluated as 125% compared to the mean of whole families. The coefficient of variation (C.V) appeared wide range, $9.4{\sim}42.4%$, in estimated leaf characteristics. Particularly, C.V of petiole length (PL) and petiole diameter (PD) showed 42.4% and 28.7%, respectively. Their were higher value than other leaf characteristics. Analysis of variance for all leaf characteristics were significantly different among families. Also, there had positive correlation between most leaf characteristics except the correlation between leaf length (LL) and leaf morphological index (LMI, LW/LL). Particularly, the correlation between leaf length and leaf width (LW) showed the highest correlation.

• Proceedings of the Korean Association for Survey Research Conference
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• 한국조사연구학회 2003년도 춘계학술발표대회
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• pp.69-84
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• 2003

Main monthly household surveys conducted by National Statistical Office are economically active population survey and household expenditure survey. Samples of these two surveys are redesigned every 5 years based on Census. This paper is about sample redesign of household survey conducted in 2002 based on 2000 Census.