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http://dx.doi.org/10.5351/KJAS.2003.16.2.239

Small Area Estimation of Unemplyoment Using Kalman Filter Method  

양영춘 (경기대학교 경제학부 응용정보통계전공, 대학원)
이상은 (경기대학교 경제학부 응용정보통계전공)
신민웅 (한국 외국어 대학 정보통계학과)
Publication Information
The Korean Journal of Applied Statistics / v.16, no.2, 2003 , pp. 239-246 More about this Journal
Abstract
In small area estimation, Best Linear Unbaised Predictor(BLUP) can be directly implicated ,specially, in use of the time series estimation. If there are correlations between observations and error terms over the time, Kalman Filter method can be used. Therefore, using kalman Filtering technique small area estimation of total of unemployments are estimated by BLUP. And for the example of this study, Economic Active Population Survey data were used.
Keywords
Kalman-Filtering; small areal estimation; BLUP;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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