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On the use of proxy variables in combining register and survey data

On the use of proxy variables in combining register and survey data
On the use of proxy variables in combining register and survey data
This chapter presents an overview of the uses of proxy variables when combining data from multiple sources. It explains what we mean by register and survey data, how the multisource data perspective differs from the survey-data centric view, and the concept of proxy variables in the context of multisource data. The chapter considers the many and various instances of proxy variable, based on a systematic examination of the processing steps of data integration and associated error sources. It outlines estimation methods in the presence of multiple proxy variables. Within the context of combining register and survey data, we consider multisource estimation methods that make use of two or more proxy variables. Combining survey and register-based enumerations for population size estimation has attracted growing interest in the recent years, under the assumption that none of the sources can yield the true target population enumeration directly.
data integration, multisource estimation methods, proxy variables, register-based enumerations, survey data, systematic examination
1-24
Wiley
Zhang, Li Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Zhang, Li Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649

Zhang, Li Chun (2021) On the use of proxy variables in combining register and survey data. In, Administrative Records for Survey Methodology. Wiley, pp. 1-24. (doi:10.1002/9781119272076.ch1).

Record type: Book Section

Abstract

This chapter presents an overview of the uses of proxy variables when combining data from multiple sources. It explains what we mean by register and survey data, how the multisource data perspective differs from the survey-data centric view, and the concept of proxy variables in the context of multisource data. The chapter considers the many and various instances of proxy variable, based on a systematic examination of the processing steps of data integration and associated error sources. It outlines estimation methods in the presence of multiple proxy variables. Within the context of combining register and survey data, we consider multisource estimation methods that make use of two or more proxy variables. Combining survey and register-based enumerations for population size estimation has attracted growing interest in the recent years, under the assumption that none of the sources can yield the true target population enumeration directly.

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e-pub ahead of print date: 26 March 2021
Additional Information: Publisher Copyright: © 2021 John Wiley and Sons, Inc. All rights reserved.
Keywords: data integration, multisource estimation methods, proxy variables, register-based enumerations, survey data, systematic examination

Identifiers

Local EPrints ID: 470110
URI: http://eprints.soton.ac.uk/id/eprint/470110
PURE UUID: e1380af6-1c3b-4310-93cc-17680ed42bbb
ORCID for Li Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484

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Date deposited: 03 Oct 2022 16:52
Last modified: 17 Mar 2024 03:30

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