An Individual Level Method for Improved Estimation of Ethnic Characteristics

Tian Lan and Paul A. Longley

International Regional Science Review, 2023, vol. 46, issue 3, 328-353

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.

Keywords: ethnicity classification; consumer data; Great Britain; social equity audit (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:46:y:2023:i:3:p:328-353

DOI: 10.1177/01600176221116568

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