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Enumeration errors of census imputation

Enumeration errors of census imputation
Enumeration errors of census imputation
Nonresponse to census enumeration is unavoidable despite the effort and resource committed. Imputation for the census non-respondents so as to create a complete census database is common practice for preparing the numerous census outputs. Many countries have used administrative records for census imputation or are investigating such uses, in order to benefit from imputing genuine data of the census non-respondents, which would not be possible when the imputed records are taken from the census respondents. But there is a gap in the literature regarding the assessment of the associated enumeration errors. In this paper we develop methods for estimating the enumeration errors induced by census imputation and illustrate their uses in the context of Australian Census 2016.
erroneous enumeration, missing enumeration, linkage error, duplication, coverage error, administrative records
0964-1998
Chipperfield, James
4d1b8976-12b0-476c-88bf-4f96b51b2650
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Chipperfield, James
4d1b8976-12b0-476c-88bf-4f96b51b2650
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649

Chipperfield, James and Zhang, Li-Chun (2024) Enumeration errors of census imputation. Journal of the Royal Statistical Society: Series A (Statistics in Society). (doi:10.1093/jrsssa/qnaf005). (In Press)

Record type: Article

Abstract

Nonresponse to census enumeration is unavoidable despite the effort and resource committed. Imputation for the census non-respondents so as to create a complete census database is common practice for preparing the numerous census outputs. Many countries have used administrative records for census imputation or are investigating such uses, in order to benefit from imputing genuine data of the census non-respondents, which would not be possible when the imputed records are taken from the census respondents. But there is a gap in the literature regarding the assessment of the associated enumeration errors. In this paper we develop methods for estimating the enumeration errors induced by census imputation and illustrate their uses in the context of Australian Census 2016.

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More information

Accepted/In Press date: 23 December 2024
Keywords: erroneous enumeration, missing enumeration, linkage error, duplication, coverage error, administrative records

Identifiers

Local EPrints ID: 497529
URI: http://eprints.soton.ac.uk/id/eprint/497529
ISSN: 0964-1998
PURE UUID: 2c47e7de-0e86-4d4e-b159-5d509e5d4a12
ORCID for Li-Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484

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Date deposited: 24 Jan 2025 18:11
Last modified: 26 Feb 2025 02:46

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Contributors

Author: James Chipperfield
Author: Li-Chun Zhang ORCID iD

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