Lan, Tian;
Longley, Paul A;
(2022)
An Individual Level Method for Improved Estimation of Ethnic Characteristics.
International Regional Science Review
10.1177/01600176221116568.
(In press).
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Abstract
This paper develops an improved method for estimating the ethnicity of individuals based on individual level pairings of given and family names. It builds upon previous research by using a global database of names from c. 1.7 billion living individuals, supplemented by individual level historical census data. In focusing upon Great Britain, these resources enable, respectively, greater precision in estimating probable global origins and better estimation of self-identification amongst long-established family groups such as the Irish Diaspora. We report on geographic issues in adjusting the weighting of groups that are systematically under- or over-predicted using other methods. Our individual level estimates are evaluated using both small area Great Britain census data for 2011 and individual level data for asylum seekers in Canada between 1995 and 2012. Our conclusions assess the value of such estimates in the conduct of social equity audits and in depicting the social mobility outcomes of residential mobility and migration across Great Britain.
| Type: | Article |
|---|---|
| Title: | An Individual Level Method for Improved Estimation of Ethnic Characteristics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/01600176221116568 |
| Publisher version: | https://doi.org/10.1177/01600176221116568 |
| Language: | English |
| Additional information: | https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| Keywords: | Science & Technology, Social Sciences, Life Sciences & Biomedicine, Environmental Studies, Regional & Urban Planning, Urban Studies, Environmental Sciences & Ecology, Public Administration, ethnicity classification, consumer data, Great Britain, social equity audit |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography UCL > Provost and Vice Provost Offices > UCL SLASH UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10152785 |
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