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Signaling Similarity in the Icelandic Labour Market: How Can Immigrants Reduce Statistical Discrimination?

Author

Listed:
  • Kari Kristinsson

    (School of Business, University of Iceland, Iceland)

  • Margret Sigrun Sigurdardottir

    (School of Business, University of Iceland, Iceland)

Abstract

Research on immigration has emphasized the role that statistical discrimination plays in hiring decisions. A better understanding of how immigrants overcome this type of discrimination might lead to better interventions to improve their labour market participation. In this article, we use qualitative interviews to examine how immigrants can reduce statistical discrimination by signalling their similarity to employers in their job applications. Specifically, we findthat immigrants who demonstrate signal similarity to employers in the type of education, job experience and religion tend to reduce their statistical discrimination by employers. We suggest how further research can build on these results to provide possible tools for immigrant integration.

Suggested Citation

  • Kari Kristinsson & Margret Sigrun Sigurdardottir, 2020. "Signaling Similarity in the Icelandic Labour Market: How Can Immigrants Reduce Statistical Discrimination?," Migration Letters, Migration Letters, vol. 17(2), pages 1-8, April.
    • Handle: RePEc:mig:journl:v:17:y:2020:i:2:p:349-356
    DOI: https://doi.org/10.33182/ml.v17i2.761
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    Cited by:

    1. Ayaita, Adam, 2021. "Labor Market Discrimination and Statistical Differences in Unobserved Characteristics of Applicants," EconStor Preprints 236615, ZBW - Leibniz Information Centre for Economics.
    2. Ayaita, Adam, 2023. "Ethnic Minority Background and Personality Characteristics: Evidence from a Representative Sample of the Adult Population," EconStor Preprints 251745, ZBW - Leibniz Information Centre for Economics, revised 2023.

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