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Classifying Ethnicity Through People’s Names

In: Names, Ethnicity and Populations

Author

Listed:
  • Pablo Mateos

    (CIESAS
    University College London)

Abstract

Several approaches have been proposed to classify populations into ethnic groups using people’s names, as an alternative to ethnicity self-identification information when this is not available. These methodologies have been developed, primarily in the public health literature in different countries, in isolation from and with little participation from demographers or social scientists. This chapter brings together these isolated efforts and provides a coherent comparison, a common methodology and terminology. A systematic review of the most representative studies that develop new name-based ethnicity classifications has been conducted, extracting methodological commonalities, achievements and shortcomings. Their current limitations are mainly due to a restricted number of names and a partial spatio-temporal coverage of the reference population datasets used to produce name reference lists. The chapter concludes with a review of unconventional computational approaches that set the baseline for the development of an innovative name classification methodology in the next chapter (Chap. 7).

Suggested Citation

  • Pablo Mateos, 2014. "Classifying Ethnicity Through People’s Names," Advances in Spatial Science, in: Names, Ethnicity and Populations, edition 127, chapter 0, pages 117-144, Springer.
  • Handle: RePEc:spr:adspcp:978-3-642-45413-4_6
    DOI: 10.1007/978-3-642-45413-4_6
    as

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