Estimating the count error in the Australian census

Chipperfield, J; Brown, J; Bell, P

Estimating the count error in the Australian census

Chipperfield, J Brown, J

Bell, P

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Publication Type:: Journal Article
Citation:: Journal of Official Statistics, 2017, 33 (1), pp. 43 - 59
Issue Date:: 2017-03-01

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Field	Value	Language
dc.contributor.author	Chipperfield, J	en_US
dc.contributor.author	Brown, J https://orcid.org/0000-0002-7535-2874	en_US
dc.contributor.author	Bell, P	en_US
dc.date.issued	2017-03-01	en_US
dc.identifier.citation	Journal of Official Statistics, 2017, 33 (1), pp. 43 - 59	en_US
dc.identifier.issn	0282-423X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115023
dc.description.abstract	© Statistics Sweden. In many countries, counts of people are a key factor in the allocation of government resources. However, it is well known that errors arise in Census counting of people (e.g., undercoverage due to missing people). Therefore, it is common for national statistical agencies to conduct one or more “audit” surveys that are designed to estimate and remove systematic errors in Census counting. For example, the Australian Bureau of Statistics (ABS) conducts a single audit sample, called the Post Enumeration Survey (PES), shortly after each Australian Population Census. This article describes the estimator used by the ABS to estimate the count of people in Australia. Key features of this estimator are that it is unbiased when there is systematic measurement error in Census counting and when nonresponse to the PES is nonignorable.	en_US
dc.relation.ispartof	Journal of Official Statistics	en_US
dc.relation.isbasedon	10.1515/JOS-2017-0003	en_US
dc.title	Estimating the count error in the Australian census	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	33	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1603 Demography	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	33	en_US

Abstract:

© Statistics Sweden. In many countries, counts of people are a key factor in the allocation of government resources. However, it is well known that errors arise in Census counting of people (e.g., undercoverage due to missing people). Therefore, it is common for national statistical agencies to conduct one or more “audit” surveys that are designed to estimate and remove systematic errors in Census counting. For example, the Australian Bureau of Statistics (ABS) conducts a single audit sample, called the Post Enumeration Survey (PES), shortly after each Australian Population Census. This article describes the estimator used by the ABS to estimate the count of people in Australia. Key features of this estimator are that it is unbiased when there is systematic measurement error in Census counting and when nonresponse to the PES is nonignorable.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/115023