• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.293-300
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• 2012

When Binomial data are obtained, logit and logit mixed models are commonly used for small area estimation. Those models are known to have good statistical properties through the use of unit level information; however, data should be obtained as area level in order to use area level information such as spatial correlation or auto-correlation. In this research, we suggested a new small area estimator obtained through the combination of unit level information with area level information.

• Proceedings of the Korean Statistical Society Conference
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• 2003.05a
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• pp.63-68
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• 2003

도시가구의 지출 중 집세가 차지하는 비율이 높으며 그 변동에 따라 도시가구의 생활에 미치는 영향도 커서 중요한 통계자료로 인식되고 있다. 집세 계약기간이 통상 2년 단위이기 때문에 집세변동의 발생빈도가 적어서 이러한 소표본 군의 통계단위로 일반적인 집세지수를 작성하는데는 많은 어려움이 따른다. 그렇다고 해서 소표본 군의 표본을 확대하는 것도 어렵기 때문에 이러한 산술적인 표본확대가 어려운 소표본 군의 문제점을 해결하기 위해 소지역 추정법을 도입하였다. 이러한 소표본 통계단위에서의 집세 변동률 추정방법을 경기도 지역의 6개 도시에서의 집세변동을 추정하는데 적용하였으며 검토해 보았다.

• Journal of agricultural medicine and community health
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• v.44 no.4
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• pp.185-194
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• 2019

Objective: In Gunsan, Jeollabuk-do, Korea, we wanted to determine if the sluggish local economy could affect citizens' health behaviors, especially mental health. Methods: We divided Gunsan-si into 5 living areas and conducted Small-Area Estimations and confirmed the modified compound estimation value using the 2013-2017 Community Health Survey data and population data from Gunsan-si. Results: The health behaviors and mental health of the residents of the western living area(Soryong-dong, Misung-dong), which is an industrial hub of Gunsan, had deteriorated or decreased compared to those of other regions. Conclusions: Although there are limitations in analyzing the community health survey data using the small-area estimation method, it could be useful data for evaluating regional gaps and health level.

• The Korean Journal of Applied Statistics
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• v.27 no.4
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• pp.605-617
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• 2014

Small area estimation is a statistical inference method to overcome large variance due to a small sample size allocated in a small area. A shrinkage estimator obtained by minimizing relative error(RE) instead of MSE has been suggested. The estimator takes advantage of good interpretation when the data range is large. A semiparametric estimator is also studied for small area estimation. In this study, we suggest a semiparametric shrinkage small area estimator and compare small area estimators using labor statistics.

• Korean Journal of Social Welfare Studies
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• v.47 no.1
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• pp.57-92
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• 2016

The Correlations Between the Labour Market Structure and Poverty of the Regions The main objectives of this study are to make an investigation into the spatial characteristics of poverty and to analyze the effects of regional labour market structure. Most previous studies on poverty were more likely to examine internal factors like the characteristics of poor households or family structures than external factors in terms of the regional environments. In order to achieve these goals, this study used the Small Area Estimation designed to estimate the income of each household and then calculate the poverty rate of each local area in order to examine the spatial characteristics of poverty. The poverty distribution in Korea showed the local labour market structures effect on the region poverty rate. The Korean economy now exhibits a big gap between the haves and the have-nots and between urban areas and rural areas. The poverty rate of particular regions will increase and those in the areas will face deteriorated circumstances falling into poverty traps. This study reflects this stern reality and empirically proved the strong need for consideration of regional characteristics in conducting studies on poverty and related policy amendments.