THE ROLE OF SAMPLING WEIGHTS WHEN MODELING SURVEY DATA

被引:352
作者
PFEFFERMANN, D
机构
关键词
DESIGN CONSISTENCY; ESTIMATING FUNCTIONS; NONIGNORABLE SAMPLING DESIGN; PSEUDO-LIKELIHOOD; RANDOMIZATION DISTRIBUTION; WEIGHTED DISTRIBUTION;
D O I
10.2307/1403631
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The purpose of this paper is to provide a critical survey of the literature, directed at answering two main questions. i) Can the use of the sampling weights be justified for analytic inference about model parameters and if so, under what circumstances? ii) Can guidelines be developed for how to incorporate the weights in the analysis? The general conclusion of this study is that the weights can be used to test and protect against informative sampling designs and against misspecification of the model holding in the population. Six approaches for incorporating the weights in the inference process are considered. The first four approaches are intended to yield design consistent estimators for corresponding descriptive population quantities of the model parameters. The other two approaches attempt to incorporate the weights into the model.
引用
收藏
页码:317 / 337
页数:21
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