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Small area estimation to quantify discontinuities in repeated sample surveys

机译:小面积估计可量化重复样本调查中的不连续性

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摘要

During redesigns of repeated surveys, the old and new approaches are often conducted in parallel to quantify discontinuities that are initiated by modifications in the survey process. For budget limitations, the sample size allocated to the alternative approach is often considerably smaller compared with the regular survey that is used for official publication. In this paper, small area estimation techniques are considered to improve the accuracy of domain estimates obtained under the alternative approach. Besides auxiliary information that is available from administrations, direct domain estimates available from the regular survey are useful auxiliary variables to construct model-based small area estimators. These methods are applied to a redesign of the Dutch Crime Victimization Survey.
机译:在重复调查的重新设计过程中,通常会并行执行新旧方法来量化因调查过程中的修改而引发的不连续性。由于预算限制,分配给替代方法的样本量通常比用于正式出版物的常规调查要小得多。在本文中,考虑使用小面积估计技术来提高在替代方法下获得的域估计的准确性。除了可以从主管部门获得的辅助信息之外,可以从常规调查中获得的直接域估计值对于构造基于模型的小面积估计器也是有用的辅助变量。这些方法适用于荷兰犯罪受害者调查的重新设计。

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