• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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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.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.849-860
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• 2005

This Paper analyzed activities of the average time use survey in 1999 and 2004 by Korea National Statistical Office. The survey of National Statistical Office considered general analysis for activities like that personal care(eating), employment and study, leisure, travel by purpose. Change of time of living causes a lot of effects on society whole economy, culture etc., and is used basic data in policy proposal of the country and enterprise's marketing operation establishment. Analysis for average time could look at change in a role of gender, holiday of saturday's enforcement and increasing of temporary post. Using this analysis we can do more developed and analytical sociological study.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.737-749
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• 2003

This Paper analyzed simultaneous activities of the time use survey by Korea National Statistical Office to use data mining's association rule. The survey of National Statistical Office in 1999 considered general analysis for main activities like that personal care(eating), employment and study, leisure, travel by purpose. But if we use the association rule, we can found the ratio of simultaneous activities at the same time. And also we can found the probability that another activities practise if we act one particular activity. Using this association rule of data mining we can do more developed and analytical sociological study.

• 한국데이터정보과학회:학술대회논문집
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• 2003.05a
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• pp.159-170
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• 2003

This Paper analyzed simultaneous activities of the time use survey by Korea National Statistical Office to use data mining‘s association rule. The survey of National Statistical Office in 1999 considered general analysis for simultaneous activities. But if we use the association rule, we can found the ratio of particular activities at the same time. And we found the probability that another activities practise if we act one particular activity. Using this association rule of data mining we can do more developed and analytical sociological study.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.43-54
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• 2006

The National Wealth Survey Method has been used to estimate capital stocks in Korea by the Korea National Statistical Office in every 10 years. However, this method requires huge amount of time and money, Since the Benchmark Year Method also has similar problems of difficulties to estimate the annual retirement rate and depreciation, the Korea National Statistical Office is now considered to adapt the Perpetual Inventory Method being used by the most OECD countries as an alternative. Hence, in this paper, the concepts of the Perpetual Inventory Method are introduced and its formation plans for the National Wealth Survey are suggested.

• The Korean Journal of Applied Statistics
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• v.10 no.1
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• pp.37-46
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• 1997

KOSIS(Korean Statistical Information System) was developed and serviced by National Statistical Office in Korea. In this paper, we report the survey results of the usage of KOSIS, and its improvement. Finally, we propose some recommendations for improvement of KOSIS, and discuss the usage of KOSIS in behalf of end-users.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.141-152
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• 2018

Although the 1997 Raw Data of the National Wealth Statistical Survey (South Korea) is timely 20-year-old data, it is meaningful as a benchmarking in the capital stock estimations of Korea, which is estimated by PIM (permanent inventory method). In the case of machinery/equipment, it is the data that can analyze in depth the changes in the industrial structure of Korea. In the case of ASL (average service life) which has economic concept, since the change of ASL is not so large, ASL yielded by the Raw Data of the 1997 National Wealth Statistical Survey is meaningful as reference value for the ASL estimated by the Bank of Korea and the National Statistical Office. As you know Japan has changed its service life due to changes in its industrial structure. However, many of its assets are still used for the years indicated in Showa (before 1989). The same trend with other countries such as Japan. However, the United States is constantly devoted to assessing the useful ASL and value of assets by distinguishing between the Hulten-Wykoff models and those not. Korea has also benchmarked the useful ASL of the United States and Japan when it conducted its own survey every 10 years by due diligence until 1997. In this study, the 'constraint' Iowa curve estimation by the Raw Data of the 1997 National Wealth Statistical Survey is based on the age records of the assets and the maximum age of the assets appropriately derived. And then we made modified Iowa curve by smoothing. From this modified one, we suggested ASL by asset. After 1997, the vintage disposal data directly were collected by the National Statistical Office with Oh Hyun Seung, Cho Jin Hyung, in order to estimate the useful ASL. Since then, the B/S team of the Economic and Statistics Bureau of the Bank of Korea has been working on a new concept of content training.

• The Journal of Industrial Distribution & Business
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• v.12 no.9
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• pp.7-18
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• 2021

Purpose: This study aims to investigate whether there is a difference in the prevalence of hypertension according to gender, occupational group, and occupational group according to gender. Research design, data, and methodology: This study classified the occupational groups according to the gender of men and women between the ages of 20 and 49 into office workers and non-office workers from the 7th 2017 National Health and Nutrition Examination Survey. A total of 2,691 people were surveyed, including 1,394 office workers and 1,297 non-office workers. Frequency analysis, chi-square, and Independent T-test for distribution difference analysis of categorical variables analysis for occupation and hypertension were applied. Statistical significance was verified at 0.001 to determine the validity analysis. All statistical analyses were performed using the IBM SPSS 24.0 program. Results: The main risk factors for hypertension were gender, age, education, obesity, smoking, drinking, family history, and chronic diseases. There were differences in the prevalence of hypertension among office workers and non-office workers. Conclusions: Men had a higher prevalence of hypertension than women, while non-office workers had a higher prevalence than office workers. In the case of women, non-office workers have a higher prevalence of hypertension than white-collar workers.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.1
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• pp.11-18
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• 2021

Purpose: This study aims to explore the correlation between job and hypertension. Hypertension is a major risk factor such as stroke, myocardial infarction, heart failure, and vascular aneurysms. Research design, data and methodology: The data from this study are the 2017 National Health and Nutrition Examination Survey classified into office workers and non-office workers. Frequency analysis was used for general characteristics analysis, and ANOVA test analysis was used for correlation between subjects' basic variables and blood pressure. The post analysis as turey was used to verify the validity of the statistical results. All statistical analyzes were performed using the IBM SPSS 24.0 program. Results: There was a difference in the prevalence of hypertension among office workers and non-office workers.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.419-427
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• 2007

Recently, Korean National Statistical Office submits the results of population projections for Korea from 1960 to 2050 year. The purpose of this paper is to suggest the reasonable assumptions for the survey of population, and then to detect the errors of the surveyed population (1960-2005) on Korean Information Statistical System.