• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1155-1167
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• 2009

We made a new sample design for life and consciousness survey of Kyungpook people in 2007. We used the 10% sample survey data of 2005 population and housing census as a survey population. After stratification, we allocate proportionally samples within strata after examining various characteristics in previous survey, which includes economic activity state, an income level per year, and housing possession. And we calculated weight in a new sample design and derived estimators and a formula of standard error using the weights.

• Proceedings of the Korean Association for Survey Research Conference
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• 2005.12a
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• pp.55-70
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• 2005

고령화 사회가 진행되면서 실버산업이 각광을 받고 있으며, 2005년 11월 1일부터 보름간 실시되는 인구주택총조사에서도 고령화와 관련된 항목이 추가 조사됨으로써 고령화 사회에 대비하기 위한 체계적인 준비를 국가차원에서도 하고 있는 실정이다. 본 연구는 2004년 통계청에서 실시한 생활시간조사(Time Use Survey) 자료를 바탕으로 1999년 조사결과와 비교 검토해 보고 노인들이 주어진 24시간을 어떤 형태로 보내고 있는지를 파악하였다. 또한 이를 이용하여 노인들의 생활유형을 군집화하고 군집 간 특성을 살펴보았다.

• Korea journal of population studies
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• v.23 no.1
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• pp.5-29
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• 2000

도시화 및 산업화는 가족의 애정기능 증대, 친족관계 약화, 공사영역분리, 여성의 교육수준 향상 및 취업기회 증가, 부부관계의 평등성 추구 등을 통해 이혼을 증가시키는 요인으로 알려져 왔다. 혼인·이혼신고 자료와 인구주택총조사 자료를 활용하여 1970년∼1995년 동안 발생한 한국의 성별, 연령별, 시도별, 교육수준별 이혼율을 비교하였다. 이혼수준을 측정하기 위하여 조이혼율, 일반이혼율, 연령별이혼율, 연령표준화 이혼을 전체인구와 유배우인구를 대상으로 각각 산출하였고, 각종 이혼력 지표의 특성을 논의하였다. 1970년∼1995년 동안 이혼율이 3배 증가하였으며, 1995년 현재 유배우인구 천 명당 3.2건의 이혼이 발생하였다. 동기간 동안 24세 이하 연령층의 이혼율이 가장 높았고, 전 연령층에 걸쳐 빠른 속도로 이혼율이 증가하였는데, 증년층의 이혼율 증가 속도가 가장 빨랐고, 남성보다는 여성의 상대적 이혼율 증가 정도가 더 빨랐다. 시도별 이혼율은 전연령층에 걸쳐 서울, 부산, 인천, 대전, 경기, 제주도가 높았고, 강원도와 전라북도 25∼34세 연령층의 이혼율이 높았다. 교육수준별 이혼율이 남자는 초등학교 졸업집단에서, 여자는 고등학교 졸업 집단에서 가장 높았고, 남자는 대졸 이상 집단, 여자는 무학 집단에서 가장 낮게 나타났다.

• Journal of the Korean association of regional geographers
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• v.21 no.4
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• pp.704-715
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• 2015

Provincial boundary regions need differentiated strategies from non-provincial boundary regions because they form multilayered regional networks with boundary cites and provinces. This paper aims to analyze the attributions of provincial boundary regions' regional networks in the dimensions of commuters, companies, and government and to explore their political strategies. At commuters level, Okcheon, a case study area, forms the strongest regional networks with Daejeon and does not have any regional network with Honam region. At companies level, it forms the regional network with Daejeon, Gyeonggi, and Chungbuk, and with Daejeon(Donggu, Daedukgu), and Gyeonggi(Bucheon) at government level. This paper suggests the following conclusive policies. First, provincial boundary regions should be postulated as the new policy targets. Second, Population and Housing Census should be constructed pan-regionally as the base data of regional network studies. Lastly, cooperation system among local government of the provincial boundary regions should be constructed.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.5
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• pp.1-13
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• 2020

The empty houses' problem is important in the local revitalization and local sustainability, and these phenomenon caused by various factors of the region. The population and housing census data are the most effective data available to study this phenomenon by small regions. In this study, logistic regression and multiple regression analysis were performed to understand the effects of population, household, and housing characteristics on empty houses using population and housing census data. Also, the scale and direction of the effect of each characteristic in large cities, small cities, and rural areas were compared. As results, there was a slight difference between cities and province regions in the district and housing characteristic variables. In the comparison of Eup-Myeon-Dong, the affected variables were different in the Dong and Myeon areas. The significance of this study is to examine the effect of the characteristics of population and housing on the vacant houses and to confirm that the factors affecting different regions.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.11a
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• pp.33-45
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• 2001

Korean standard industrial/occupational classification has been the basis of producing accurate statistical data related with our industrial structure and distribution of industry and occupation since 1960. But coding over several million records not only requires high cost in the aspects of time and manpower but also has many problems in accuracy and consistency. Therefore, we got to develop the automatic coding system in order to work out these problems of manual coding. This paper shows the structure of our system and the result of experiment over survey data of 2,000 Census.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.823-835
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• 2021

Identification of factors influencing regional population is critical for establishing government's population policies as well as for improving residents' social, economic and cultural well-being in the region. In this study we analysed the data from 2019 Population Housing Survey in Korea to identify the factors affecting the population size in each of the three regions: Seoul, metropolitan cities, and provincial regions. We applied a Bayesian quantile regression to account for asymmetry and heteroscedasticity of data. The analysis results showed that the effects of factors vary greatly between the three regions of Seoul, metropolitan cities, and provincial regions as well as between sub regions within the same region. These results suggest that population-related variables have very heterogeneous characteristics from region to region and therefore it is important to establish customized population policies that suit regional characteristics rather than uniform population policies that apply to every region.

• Korea journal of population studies
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• v.33 no.1
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• pp.75-101
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• 2010

One of the reasons for low fertility rate in Korea is related to the delayed marriage among the population belong to marriage cohorts. The major goal of this study is to analyze how the economic resources such as level of education, whether employed or not, and occupation have affected one's marriage opportunity and how it is differed by gender. Meanwhile, the changes in the influence of economic resources and the changes in the marriage norms were also studied by analyzing 2% Census data in 1995, 2000 and 2005. Total number of 1.1 million men and women in their ages between 20 to 44 are included in data and binary-logistic analysis is used for statistical research. This study supports a traditional hypothesis that the influence of economic resources on probability of marriage is different by gender. More important academic contribution of this study is the quality of economic resources is becoming more important for men since Asian economic crisis and that the negative effect of it on women is declining since 2000. It is analyzed that the effect of marriage norm has recently decreased on the part of women. These findings suggest that there is a tendency of polarization of marriage market in Korea affected by economic polarization since Asian economic crisis.

• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.27-41
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• 2005

We made a new sample design for intestinal parasitic infection survey in 2004. We used the 10% sample survey data of 2000 population and housing census as a survey population. Since the infection rates of intestinal parasitics are very low, we applied the relative risk and odds ratio instead of ordinary method such as t-test to study the characteristics from the 1997 survey data. In order to allocate samples to stratum, we used the compromise of Neyman allocation which is the average of three Neyman allocations. And also, we derive estimators and variance estimators of the estimators.

• The Korean Journal of Applied Statistics
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• v.23 no.1
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• pp.1-11
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• 2010

This study aims to improve the more confident and efficient projection method that is to estimate the Number of Household per Family scales(NHF) in projecting the Household Heath care Expenditure(HHE). For this purpose, this paper suggested three results of the research. First, because projecting the NHF does not reflect the recent socio-demographic trends in the process of projecting the National Health Expenditure(NHE),the prior projection results have serious problem in the confidence and political availability. Second, the projection results about the HHE might be underestimated relative to the real one. Third, in order to estimate the more confident and efficient estimates of the HHE, the estimated NHF reflecting the socio-demographic trend must be used to project the one. There is an alternative method that the NHF and the increasing or decreasing rate of them which are regularly surveyed and suggested by the KOSIS should be used to project the process.