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Survey Weighting after Imperfect Linkage to an Administrative File
International Statistical Review ( IF 2 ) Pub Date : 2022-02-28 , DOI: 10.1111/insr.12490
James Chipperfield 1
Affiliation  

This paper proposes an instrumental variable regression estimator of population totals using a sample, a set of links between the sample units and records on an administrative file, and a set of calibration totals calculated from the administrative file. This paper proposes a survey-weighted estimator of a population total that is valid when the survey non-response mechanism is non-ignorable and false negatives occur in the administrative-survey linkage. False negatives lead to measurement error in the administrative variables that are available on the survey and will lead to biased estimates if not taken into account. We show the benefit of the proposed approach in a simulation and in a case study.

中文翻译:

与管理文件的不完美链接后的调查权重

本文提出了一个使用样本的人口总数的工具变量回归估计器,一组样本单位和行政档案记录之间的联系,以及一组从行政档案计算的校准总数。本文提出了一种人口总数的调查加权估计量,该估计量在调查不答复机制不可忽视且行政调查联系中出现假阴性时有效。假阴性会导致调查中可用的管理变量的测量错误,如果不考虑,将导致估计有偏差。我们在模拟和案例研究中展示了所提出方法的好处。
更新日期:2022-02-28
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