Survey Weighting after Imperfect Linkage to an Administrative File

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-02-28 DOI:10.1111/insr.12490

James Chipperfield

引用次数: 0

Abstract

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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行政档案不完全联动后的调查权重

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.