The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross-sections

Chipperfield, J; Brown, JJ; Watson, N

The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross-sections

Chipperfield, J Brown, JJ

Watson, N

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Publication Type:: Journal Article
Citation:: Australian and New Zealand Journal of Statistics, 2017, 59 (1), pp. 1 - 16
Issue Date:: 2017-03-01

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Field	Value	Language
dc.contributor.author	Chipperfield, J	en_US
dc.contributor.author	Brown, JJ https://orcid.org/0000-0002-7535-2874	en_US
dc.contributor.author	Watson, N	en_US
dc.date.available	2020-05-25T19:03:59Z
dc.date.issued	2017-03-01	en_US
dc.identifier.citation	Australian and New Zealand Journal of Statistics, 2017, 59 (1), pp. 1 - 16	en_US
dc.identifier.issn	1369-1473	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115025
dc.description.abstract	© 2017 Australian Statistical Publishing Association Inc. Published by John Wiley & Sons Australia Pty Ltd. The Australian Bureau of Statistics is creating a longitudinal sample, called the Australian Census Longitudinal Dataset (ACLD), by linking person records across its five-yearly Census of Population and Housing. This paper proposes a Multi-Panel framework for selecting and weighting records in the ACLD. This framework can be applied more generally to selecting longitudinal samples from a series of cross-sectional administrative files. The proposed framework avoids some significant limitations of the popular ‘Top-Up’ sampling approach to maintaining the cross-sectional and longitudinal representativeness of a sample over time.	en_US
dc.relation.ispartof	Australian and New Zealand Journal of Statistics	en_US
dc.relation.isbasedon	10.1111/anzs.12177	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross-sections	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	59	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1403 Econometrics	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	59	en_US

Abstract:

© 2017 Australian Statistical Publishing Association Inc. Published by John Wiley & Sons Australia Pty Ltd. The Australian Bureau of Statistics is creating a longitudinal sample, called the Australian Census Longitudinal Dataset (ACLD), by linking person records across its five-yearly Census of Population and Housing. This paper proposes a Multi-Panel framework for selecting and weighting records in the ACLD. This framework can be applied more generally to selecting longitudinal samples from a series of cross-sectional administrative files. The proposed framework avoids some significant limitations of the popular ‘Top-Up’ sampling approach to maintaining the cross-sectional and longitudinal representativeness of a sample over time.

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http://hdl.handle.net/10453/115025