Survey item nonresponse and its treatment

被引：1
作者：
Rässler S. [1 ]
Riphahn R.T. [2 ]
机构：
[1] Kompetenzzentrum für Empirische Methoden, IAB Institut für Arbeitsmarkt-und Berufsforschung, 90478 Nürnberg
[2] Lehrstuhl für Statistik und Empirische Wirtschaftsforschung, Universität Erlangen-Nürnberg, 90403 Nürnberg
来源：
Allgemeines Statistisches Archiv | 2006年 / 90卷 / 1期
关键词：
Imputation; Item nonresponse; Survey data; Weighting;
D O I：
10.1007/s10182-006-0231-3
中图分类号：
学科分类号：
摘要：
One of the most salient data problems empirical researchers face is the lack of informative responses in survey data. This contribution briefly surveys the literature on item nonresponse behavior and its determinants before it describes four approaches to address item nonresponse problems: Casewise deletion of observations, weighting, imputation, and model-based procedures. We describe the basic approaches, their strengths and weaknesses and illustrate some of their effects using a simulation study. The paper concludes with some recommendations for the applied researcher. © Springer-Verlag 2006.
引用
收藏
页码：217 / 232
页数：15
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