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http://dx.doi.org/10.7465/jkdi.2016.27.2.363

Choosing clusters for two-stage household surveys  

Park, Inho (Department of Statistics, Pukyong National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.2, 2016 , pp. 363-372 More about this Journal
Abstract
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 Alternative clusters are often considered due to diverse reasons such as the EDs' limitation in size, being out-of-date, and in-assessibility to their household lists.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.
Keywords
Clustering effect; design effect; hierachical structure; measure of homogeneity; superpopulation model;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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