The University of Southampton
University of Southampton Institutional Repository

Identifying biases arising from combining census and administrative data – the fertility of migrants in the Office for National Statistics Longitudinal Study

Identifying biases arising from combining census and administrative data – the fertility of migrants in the Office for National Statistics Longitudinal Study
Identifying biases arising from combining census and administrative data – the fertility of migrants in the Office for National Statistics Longitudinal Study
Demographic research is increasingly making use of longitudinal and life history data, given its strong analytical potential. Such data are frequently produced by linking and matching records from multiple sources. Where this is the case, there is the potential for a person’s appearance in one source of data to be conditional on an event in another source of data. This can lead to bias in estimating occurrence/exposure rates concerning the event in question unless the correct exposure can be identified. Achieving the latter requires understanding the reasons governing entry to the data. The Office for National Statistics (ONS) Longitudinal Study (LS) for England and Wales is a 1% sample of the population constructed by combining data from the census, vital registrations (births and deaths) and the National Health Service Central Register (NHSCR). This paper examines the difficulties in obtaining the correct exposure for rates in complex data sets by studying the fertility of migrants using the ONS LS. Three tests in relation to the fertility of female migrants to England and Wales illustrate the possible association between exposure to risk and subsequent events. The first identifies the ability of the data set to record new migrants, the second is concerned with the mode of entry to the data set and subsequent fertility and the third illustrates how the recorded fertility of migrants depends upon the way migration is measured.
1757-9597
258-267
Robards, James
4c79fa72-e722-4a2a-a289-1d2bad2c2343
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Robards, James
4c79fa72-e722-4a2a-a289-1d2bad2c2343
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d

Robards, James, Berrington, Ann and Hinde, Andrew (2013) Identifying biases arising from combining census and administrative data – the fertility of migrants in the Office for National Statistics Longitudinal Study. Longitudinal and Life Course Studies, 4 (3), 258-267.

Record type: Article

Abstract

Demographic research is increasingly making use of longitudinal and life history data, given its strong analytical potential. Such data are frequently produced by linking and matching records from multiple sources. Where this is the case, there is the potential for a person’s appearance in one source of data to be conditional on an event in another source of data. This can lead to bias in estimating occurrence/exposure rates concerning the event in question unless the correct exposure can be identified. Achieving the latter requires understanding the reasons governing entry to the data. The Office for National Statistics (ONS) Longitudinal Study (LS) for England and Wales is a 1% sample of the population constructed by combining data from the census, vital registrations (births and deaths) and the National Health Service Central Register (NHSCR). This paper examines the difficulties in obtaining the correct exposure for rates in complex data sets by studying the fertility of migrants using the ONS LS. Three tests in relation to the fertility of female migrants to England and Wales illustrate the possible association between exposure to risk and subsequent events. The first identifies the ability of the data set to record new migrants, the second is concerned with the mode of entry to the data set and subsequent fertility and the third illustrates how the recorded fertility of migrants depends upon the way migration is measured.

Text
ROBARDS ET AL (2013) LLCS PRE-PRINT.pdf - Author's Original
Download (283kB)

More information

Published date: 2013
Organisations: Social Statistics & Demography, Social Sciences

Identifiers

Local EPrints ID: 355045
URI: http://eprints.soton.ac.uk/id/eprint/355045
ISSN: 1757-9597
PURE UUID: 0a7e16be-1e43-4c05-9a46-cca048f4ccec
ORCID for James Robards: ORCID iD orcid.org/0000-0003-4784-5679
ORCID for Ann Berrington: ORCID iD orcid.org/0000-0002-1683-6668
ORCID for Andrew Hinde: ORCID iD orcid.org/0000-0002-8909-9152

Catalogue record

Date deposited: 12 Aug 2013 11:50
Last modified: 15 Mar 2024 02:47

Export record

Contributors

Author: James Robards ORCID iD
Author: Ann Berrington ORCID iD
Author: Andrew Hinde ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×