利用行政数据进行捕获-再捕获的稳健统计估算

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Official Statistics Pub Date : 2024-05-23 DOI:10.1177/0282423x241246517
James O. Chipperfield, Randall Chu, Li-Chun Zhang, Bernard Baffour
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引用次数: 0

摘要

一个国家人口普查的第一个主要用途是统计其常住人口。人口普查会出现计数误差,通常称为覆盖率过高和过低。因此,许多国家的通常做法是对其居民进行独立的统计,即所谓的覆盖率调查,并在捕获-再捕获框架内估计或调整这些统计误差。近来,由于成本上升、回复率下降和受访者负担等原因,许多人口普查和覆盖面调查都面临着如何高效、有效地统计人口数量的挑战。这促使人们转向探索行政登记册在 "捕获-再捕获 "框架内统计人口时可发挥的作用。行政登记册的成本相对较低,对全国人口的覆盖率也较高。本文探讨了在此框架内克服行政登记册使用中常见问题的方法,包括链接错误和只捕获居民的登记范围。本文以澳大利亚人口为背景,对这些方法进行了实证评估。
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Robust Statistical Estimation for Capture-Recapture Using Administrative Data
The first key use of a nation’s Census is to count its resident population. A Census will have counting errors, often referred to as over-coverage and under-coverage. So it is common practice in many countries to conduct an independent count of its residents, a so-called coverage survey, and estimate or adjust for these counting errors within the capture-recapture framework. In recent times, many censuses and coverage surveys have faced challenges in counting the population efficiently and effectively due to rising costs, declining response rates, and respondent burden. This has led to a shift toward exploring the role that administrative registers could play in counting the population within the capture-recapture framework. Administrative registers are relatively inexpensive and can have high coverage of a nation’s population. This paper explores methods to overcome common problems with the use of administrative registers within this framework, including linking errors and scoping the register to only capture residents. These methods are empirically assessed in the context of the Australian population.
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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