Small-area estimation in the presence of area-level correlated responses

被引：0
|
作者：
Bartoli, Luca [1 ]
Pagliarella, Maria Chiara [2 ]
Russo, Carlo [1 ]
Salvatore, Renato [1 ]
机构：
[1] Univ Cassino & Southern Lazio, Dept Econ & Law, Cassino, Italy
[2] Univ Perugia, Dept Expt Med, Perugia, Italy
来源：
MATHEMATICAL POPULATION STUDIES | 2018年 / 25卷 / 01期
关键词：
Linear mixed-effects model; best linear unbiased prediction; correlated observations; prediction mean squared error; FAY-HERRIOT MODELS; MEAN SQUARED ERROR;
D O I：
10.1080/08898480.2017.1408354
中图分类号：
C921 [人口统计学];
学科分类号：
摘要：
The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.
引用
收藏
页码：20 / 40
页数：21
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