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Ethnicity estimation using family naming practices

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  • Jens Kandt
  • Paul A Longley

Abstract

This paper examines the association between given and family names and self-ascribed ethnicity as classified by the 2011 Census of Population for England and Wales. Using Census data in an innovative way under the new Office for National Statistics (ONS) Secure Research Service (SRS; previously the ONS Virtual Microdata Laboratory, VML), we investigate how bearers of a full range of given and family names assigned themselves to 2011 Census categories, using a names classification tool previously described in this journal. Based on these results, we develop a follow-up ethnicity estimation tool and describe how the tool may be used to observe changing relations between naming practices and ethnic identities as a facet of social integration and cosmopolitanism in an increasingly diverse society.

Suggested Citation

  • Jens Kandt & Paul A Longley, 2018. "Ethnicity estimation using family naming practices," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-24, August.
    • Handle: RePEc:plo:pone00:0201774
    DOI: 10.1371/journal.pone.0201774
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    References listed on IDEAS

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    1. Pablo Mateos & Paul A Longley & David O'Sullivan, 2011. "Ethnicity and Population Structure in Personal Naming Networks," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-12, September.
    2. Leonardo Monasterio, 2017. "Surnames and ancestry in Brazil," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    3. Ran Abramitzky & Leah Platt Boustan & Katherine Eriksson, 2016. "Cultural Assimilation during the Age of Mass Migration," NBER Working Papers 22381, National Bureau of Economic Research, Inc.
    4. Hicken, Margaret T. & Kravitz-Wirtz, Nicole & Durkee, Myles & Jackson, James S., 2018. "Racial inequalities in health: Framing future research," Social Science & Medicine, Elsevier, vol. 199(C), pages 11-18.
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    Cited by:

    1. Cummins, Neil, 2024. "Ethnic Wealth Inequality in England and Wales, 1858-2018," CEPR Discussion Papers 19398, C.E.P.R. Discussion Papers.
    2. Kai On Wong & Osmar R Zaïane & Faith G Davis & Yutaka Yasui, 2020. "A machine learning approach to predict ethnicity using personal name and census location in Canada," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-16, November.
    3. Bose, Paul, 2021. "Political (self-)selection and competition: Evidence from U.S. Congressional elections," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242377, Verein für Socialpolitik / German Economic Association.

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