行政档案不完全联动后的调查权重

IF 1.7 3区 数学 Q1 STATISTICS & PROBABILITY International Statistical Review Pub Date : 2022-02-28 DOI:10.1111/insr.12490
James Chipperfield
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引用次数: 0

摘要

本文提出了一个使用样本、样本单位与行政文件记录之间的一组联系以及从行政文件计算出的一组校准总数的工具变量回归估计。本文提出了一种调查不响应机制不可忽略且行政调查联动中出现假阴性时有效的调查加权人口总数估计方法。假阴性会导致调查中可用的管理变量的测量误差,如果不加以考虑,将导致有偏差的估计。我们在模拟和案例研究中展示了所提出方法的优点。
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Survey Weighting after Imperfect Linkage to an Administrative File

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.

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来源期刊
International Statistical Review
International Statistical Review 数学-统计学与概率论
CiteScore
4.30
自引率
5.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.
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