Signalling Similarity in the Icelandic Labour Market: How Can Immigrants Reduce Statistical Discrimination? Cover Image

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

Author(s): Margret Sigrun Sigurdardottir, Kari Kristinsson
Subject(s): Labor relations, Migration Studies, Human Resources in Economy, Socio-Economic Research
Published by: Transnational Press London
Keywords: Immigrants; hiring process; prejudice; statistical discrimination; human resource managers;

Summary/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 find that 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.

  • Issue Year: 17/2020
  • Issue No: 2
  • Page Range: 349-356
  • Page Count: 8
  • Language: English