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http://dx.doi.org/10.5351/KJAS.2007.20.2.229

Evaluations of Small Area Estimations with/without Spatial Terms  

Shin, Key-Il (Dept. of Statistics, Hankuk University of Foreign Studies)
Choi, Bong-Ho (KNSO Regional Statistics & Sampling Division)
Lee, Sang-Eun (Department of Applied and Information Statistics, Kyonggi University)
Publication Information
The Korean Journal of Applied Statistics / v.20, no.2, 2007 , pp. 229-244 More about this Journal
Abstract
Among the small area estimation methods, it has been known that hierarchical Bayesian(HB) approach is the most reasonable and effective method. However any model based approaches need good explanatory variables and finding them is the key role in the model based approach. As the lacking of explanatory variables, adopting the spatial terms in the model was introduced. Here in this paper, we evaluate the model based methods with/without spatial terms using the diagnostic methods which were introduced by Brown et al. (2001). And Economic Active Population Survey(2005) is used for data analysis.
Keywords
Small area estimation methods; spatial terms; Empirical Bayesian(EB) estimation; Hierarchical Bayesian(HB) estimation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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