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http://dx.doi.org/10.5351/KJAS.2003.16.1.001

Design-Based Small Area Estimation for the Korean Economically Active Population Survey  

정연수 (공군사관학교 전산통계학과)
이계오 (한국갤럽 조사연구소)
이우일 (공군사관학교 전산통계학과)
Publication Information
The Korean Journal of Applied Statistics / v.16, no.1, 2003 , pp. 1-14 More about this Journal
Abstract
In this study, we suggest the method of small area estimation based on the Economically Active Population Survey (EAPS) data in producing unemployment statistics for the local self-government areas (LSGAs) within large areas. The small area estimators considered are design-based indirect estimators such as the synthetic and composite estimators. The jackknife mean square error was used as a measure of accuracy of such small area estimators. The total unemployed and jackknife mean square errors of the 10 LSGAs within the large area of ChoongBuk region are derived from the estimation procedure suggested in this study, using EAPS data of December 2000. The reliability of small area estimators was assessed using the relative bias values and relative root mean square errors of these estimators. We find that under the current Korean EAPS system, the composite estimator turns out to be much more stable than other estimators.
Keywords
Small Area Estimation; Synthetic Estimator; Composite Estimator; Jackknife Mean Square Error; Relative Bias; Relative Mean Square Error;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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