A unit-error theory for register-based household statistics
A unit-error theory for register-based household statistics
The next round of censuses will be completely register-based in all the Nordic countries. Household is a key statistical unit in this context, which however does not exist as such in the administrative registers available, and needs to be created by the statistical agency based on various information available in the statistical system. Errors in such register households are thus unavoidable, and will propagate to various induced household statistics. In this article I outline a unit-error theory which provides a framework for evaluating the statistical accuracy of these register-based household statistics, and illustrate its use based on the Norwegian register household data.
register statistics, statistical accuracy, unit errors, prediction inference
415-432
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
2011
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Zhang, Li-Chun
(2011)
A unit-error theory for register-based household statistics.
Journal of Official Statistics, 27 (3), .
Abstract
The next round of censuses will be completely register-based in all the Nordic countries. Household is a key statistical unit in this context, which however does not exist as such in the administrative registers available, and needs to be created by the statistical agency based on various information available in the statistical system. Errors in such register households are thus unavoidable, and will propagate to various induced household statistics. In this article I outline a unit-error theory which provides a framework for evaluating the statistical accuracy of these register-based household statistics, and illustrate its use based on the Norwegian register household data.
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Published date: 2011
Keywords:
register statistics, statistical accuracy, unit errors, prediction inference
Organisations:
Statistical Sciences Research Institute
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Local EPrints ID: 345158
URI: http://eprints.soton.ac.uk/id/eprint/345158
ISSN: 0282-423X
PURE UUID: 846a95bd-b1bf-4571-bb67-1cae78c970b5
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Date deposited: 09 Nov 2012 17:11
Last modified: 15 Mar 2024 03:45
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