Audit sampling as a quality standard for multisource official statistics
Audit sampling as a quality standard for multisource official statistics
Designed surveys through sampling or census are the standard approach to official statistics, where the targets are descriptive summaries of a given population. Official statistics are also commonly produced by combining relevant administrative registers, such as in the Nordic countries since the 1960s. The scope of non-survey data sources are being extended to include various so-called big-data sources, although so far relatively few multisource statistics of this kind have been credited as official statistics. Trustworthy evaluation of multisource official statistics is a fundamental issue for creating a new quality assurance standard. In this paper, audit sampling inference will be explained, illustrated and promoted to this end.
67-83
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
2023
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Zhang, Li-Chun
(2023)
Audit sampling as a quality standard for multisource official statistics.
Spanish Journal of Statistics, 5 (1), .
(doi:10.37830/SJS.2023.1.05).
Abstract
Designed surveys through sampling or census are the standard approach to official statistics, where the targets are descriptive summaries of a given population. Official statistics are also commonly produced by combining relevant administrative registers, such as in the Nordic countries since the 1960s. The scope of non-survey data sources are being extended to include various so-called big-data sources, although so far relatively few multisource statistics of this kind have been credited as official statistics. Trustworthy evaluation of multisource official statistics is a fundamental issue for creating a new quality assurance standard. In this paper, audit sampling inference will be explained, illustrated and promoted to this end.
Text
qualityMultisourceStat-Zhang
- Accepted Manuscript
More information
Accepted/In Press date: 25 November 2023
Published date: 2023
Identifiers
Local EPrints ID: 486585
URI: http://eprints.soton.ac.uk/id/eprint/486585
ISSN: 2695-9070
PURE UUID: cd028806-e361-48aa-9b8a-288f643d715a
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Date deposited: 26 Jan 2024 17:50
Last modified: 15 Oct 2025 01:46
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