Triple-source estimator for estimating the net error in census coverage

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2020-07-02 DOI:10.1080/08898480.2018.1553415

Guihua Hu, Li Qi, Min Hu, Yingan Wang

引用次数: 5

Abstract

ABSTRACT The triple-source estimator avoids the correlation bias inherent in the double-source estimator, which has been a popular estimator of population size for assessing the quality of a census. The triple-source estimator relies on the census list, the quality-assessment survey list, and the administrative record list. It also provides an estimate of the net census coverage error. It is established in population strata of equal probability of being drawn and based on a sample. The triple-source estimator provides an unbiased estimate of the net error.

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用于估计人口普查覆盖净误差的三源估计器

摘要三源估计量避免了双源估计量固有的相关性偏差，双源估计是评估人口普查质量的一种流行的人口规模估计量。三重来源估计器依赖于人口普查清单、质量评估调查清单和行政记录清单。它还提供了人口普查净覆盖误差的估计。它是在被绘制的概率相等的人群阶层中建立的，并基于样本。三源估计器提供了对净误差的无偏估计。

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

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.