• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1315-1329
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• 2009

The panel survey is need to have a more concern about a response due to a secession and non-response of a sample. And generally a population is not fixed and continuously changed. Thus, the rotation sample design can be used by the method replacing the panel research. This paper is the study of comparison to equal weight method, Duncan weight, Design weight method, weight share method in rotation sample design. More specifically, this paper compared variance estimators about the existing each method for the efficiency comparison, and to compare the precision using the relative efficiency gain by the Coefficient Variance(CV) after getting the design weight from the actual data.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.363-372
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• 2016

Two-stage sample designs are commonly used for household surveys in Korea using as clusters the enumeration districts (EDs). Since clustering decomposes the population variation into within- and between-cluster variations, the sample sizes allocated in stages can affect the overall precision. Alternative clusters are often considered due to diverse reasons such as the EDs' limitation in size, being out-of-date, and in-assessibility to their household lists. In addition, the EDs are currently under development by the Statistics Korea as an joint effort toward their transition from the traditional practice to the register census from 2015. We present an approach for evaluating the difference in the precision of the mean estimators of the sets of the cluster units in between a hierachical and nested form, where the design effect is used to reflect the effect of the clustering and the sample allocation. We also demonstrate our approach using the U.S. Census counts from the year 2000 for Anne Arundel County in Maryland. Our research shows that the within-cluster variance can be significantly different for survey variables and thus the choice of cluster units and the associated sample allocation scheme should reflect the corresponding variance decomposition due to clustering.

• Nutrition Research and Practice
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• v.17 no.1
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• pp.103-121
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• 2023

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population in many ways. This study aimed to analyze the patterns of changes in eating, food purchasing and preparation, physical activity, and subjective health after COVID-19 outbreak by various sociodemographic factors and to understand the factors associated with changes in subjective health. SUBJECTS/METHODS: A cross-sectional survey using a representative sample from Seoul was used for the analysis. The data collection was conducted from September to October 2020. A total of 3,833 citizens aged more than 18 years old participated in the Seoul Food Survey. Descriptive statistics and generalized ordinal logistic regression models were used to understand the changes in health behaviors, health indicators, and subjective general health by various socioeconomic status. RESULTS: It was shown that the changes in household income, food expenditure, food consumption and physical activities differed significantly by age, education, occupation, income, weight, and food security status. Low-income and food-insecure households were affected more severely by the pandemic. Older age, household food insecurity, income reduction, increased home cooking and frequency of having instant foods, decreased physical activity and weight gain were significant factors explaining worse perceived health during the COVID-19 pandemic. CONCLUSIONS: The results suggest that focusing on older populations and low-income families with food insecurity should be prioritized during infectious disease outbreaks. In addition, the role of physical activities and instant food consumption in explaining perceived health should be investigated further in this prolonged battle with the pandemic situation.

• Korean Journal of Community Nutrition
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• v.13 no.2
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• pp.207-215
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• 2008

This study was conducted to measure and evaluate the food and nutrient intakes of the people living near the nuclear plant and to investigate the relationship between the household income level and the food and nutrient intake patterns. A total of 552 cases (263 males and 289 females) were surveyed during the period from April 1 to December 21 of 2005. Dietary intake was measured by means of the 24-hour recall method. The data were analyzed using SPSS Windows (ver. 14.0). The household income level of the subjects was classified into two groups : Low income group (LIG; $\leq$2,000,000 won) and high income group (HIG; > 2,000,000). The subjects at large had less energy and nutrient intakes than did the population in town and village who participated in the 2005 National Health and Nutrition Survey. The intake of calcium, zinc, vitamin A, riboflavin, vitamin $B_6$, vitamin C, and folic acid was less than the Estimated Average Requirement in case of $50{\sim}95%$ of the subjects. The LIG consumed less beans, vegetables, fruits, meats, and beverages than did the HIG in male, while the LIG consumed less eggs and beverages than did the HIG in female. The LIG consumed less nutrients than did the HIG in male, except for carbohydrate, while the LIG consumed less nutrients including zinc, vitamin A, riboflavin, vitamin B6, vitamin C, folic acid than did the HIG in female. In addition, the LIG had higher percentage energy consumption from carbohydrate. These results suggest that higher food and nutrient intake is associated with higher income.

• Korea Real Estate Review
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• v.28 no.1
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• pp.105-114
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• 2018

According to Statistics Korea, South Korea has entered the realm of the "aging society" with the rapid development of the country's population. Researchers anticipate that the extremely high (73%) ratio of real estate property to total assets for mid-age to aged households in South Korea that do not have a fixed income may cause serious problems in the future. For example, the real estate market in South Korea may be bombarded with properties listed for sale, causing the average property price to drop due to the abundant supply. Although this prediction may be reasonable, this concept has excluded the idea of pension (which is crucial as it can be considered a consistent and fixed income) due to the limited amount of available data thereon; as such, it is important to include this factor to improve the pertinent research. Thus, this research was conducted using the data from the $3^{rd}$ and $5^{th}$ Korea Retirement and Income Study. For the study results, it was found that variables such as net asset, gender, education, and number of family members have the same impact as that found in the previous studies. To extend from here, two new factors were introduced: the existence of pensions and the amount of pension received by a household. From there, it was found that the existence of a consistent and fixed income such as a pension has led to an increase in housing consumption, the area of interest of the authors.

• Spatial Information Research
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• v.23 no.3
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• pp.11-21
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• 2015

While the number of total population in Seoul has been on the constant decline for the last few years, the number of household has increased due to the rising tendency of the smaller households. In 2010, the small households in the metropolitan areas accounted for 44% of the entire households, and Statistics Korea has reported that one person household, which will take up more than 30% of the whole household, will have been the most common type of household by 2020. This reason of rise will be differently shown according to age like the preferred housing type or surrounding environments, this research is suggest to research hypothesis that distinction of age leads to the spatial distribution of one person household. Therefore, this research is to exercise a multiple regression analysis targeting on the facilities, which become the spatial distribution factor of one person household, with the independent variable gained from the concluded area calculated with the area ratio of the spatial unit followed by the service area analysis based on network. The spatial unit is the census output of Seoul, and based on this the interaction between the number of one person household according to age and the factors of its distribution. Also, the spatial regions - downtown, northeast, southeast, northwest, southwest - are designed as dummy variables and the results of each region are found out. As a result, the spatial regions occupied according to age are found to be varied - people in their 20s prefer housings near the college, 30s lease or the monthly rental housings, 40s the monthly rental housings, and over 60s the housing with the floor area of less than $40m^2$. Likewise, one person household has different types of housing environments preferred according to age, and thus a housing policy concerning this will have to be suggested.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.2
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• pp.105-117
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• 2011

This study describes behavioral characteristics of Korean population over twenty years old in a variety of activities of daily living by analyzing the raw data of the time use survey provided by Statistics Korea (KOSTAT). Seven activities and forty four sub-activities of daily living were selected for analysis : personal care, employment, household care, family care, voluntary work and community participation, social life, recreation and leisure, and travel. In order to quantitatively understand how Korean adults spend their time for a day and how their lifestyle changes over time, we collected the time recorded by 3,673 respondents in three surveys over the past ten years (in 1999, 2004, and 2009). Then, we performed analysis of variance to compare the behavioral characteristics by user age and gender based on the mean time of each activity. The differences in behavior among user groups and over time could be used to design ergonomic products and services based on user experience, especially for universal design of housing and transportation facilities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.397-407
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• 2022

The informal economy is a large part of the urban economy. The informal economy accounts for about half of Pakistan's GDP. This research examined nine different areas of Rawalpindi's Central Business District's business sector (CBD). A survey of 404 respondents from 16 CBD marketplaces enables a comprehensive examination of who works in the informal and formal economic sectors, how much they earn, their goals, perception of their job, and their degree of similarity to the rest of the working population. Furthermore, the statistics illustrate the pro-cyclical connections between the informal economic sector and the formal economy. The Multinomial Logistic Regression (MLR) technique is used for the analysis. The MLR results indicated the informal economic sector holds positive relation with earning members in a family, business expertise, average business sale, and negative relation with education level, satisfaction with government tax policies, household expense, and average investment in the business. From a resilience standpoint, governance is considered an intentional collective action to preserve a stable system condition. Hence, the current study recommends tax reforms and government institution reorganization to mobilize the informal sector and make effective institutional governance.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.13-20
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• 2016

Microsimulation model has aimed to simulate the impact of policy at the level of individual and household. Recently, microsimulation model has been widely accepted in OECD countries for evaluating their economic and social policies. For improving the availability of microsimulation model, the population data which shows good accordance with the official statistics should be required. In this paper, we generate Korean synthetic populations by using the iterative proportional updating method. For the validation of Korean synthetic populations, we compute the difference between the generated synthetic populations and the summary table of Korean census. Then, we confirm that it shows good accordance with the summary table.

• Korea journal of population studies
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• v.5 no.1
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• pp.167-186
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• 1982

Financial barrier is well known as a determinant of the perceived need for and utilization of medical care in urban areas. This study aims to; a) estimate the levels of the perceived need for and utilization of medical care, b) analyze the reasons for not receiving medical care, and c) determine factors affecting the levels of need and utilization, and major reasons for not receiving medical care. The data of household interview survey in urban areas collected for a National Survey on Reorganization of Nationwide Health Care Delivery Network is used. An interview was conducted with a total of 2, 538 households in urban areas during a 28 day period of October through November, 1981, giving an overall response rate of 99 percent. The results show a factor of third-party payer is most influential to utilization (physician visits by patient), and living standard is a determinant to explain the variance of major reasons for not receiving medical care. Therefore, financial burden is still a major determent in utilization of medical care in urban areas. Improved level of living standard and expanded coverage of the third-party payer such as health insurance and public medical assistance will increase both an overall levels of utilization of and the need for medical care in urban areas in the future. The major statistics are as follows; a) rate of the need for medical care during a 15 day period per 100 persons was 33 percent: the differential rates appeared in sex, age, living standard, and third- party payer variables, b) percent of treatment employed per 100 persons who are wanting medical care was 82: the percents were high in young ages, high levels of living standard and education, and persons covered by third-party payer, and c) economic reasons for not receiving medical care per 100 persons who are wanting medical care were occupied with 60 percent: the rates are high in old ages, low levels of living standard and persons not covered by third-party payer.