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Detecting discrimination in the hiring process: Evidence from an Internet-based search channel

Author

Listed:
  • Eriksson, Stefan

    (Department of Economics)

  • Lagerström, Jonas

    (Institute for Labour Market Policy Evaluation (IFAU))

Abstract

This paper uses data from an Internet-based CV database to investigate how factors which may be used as a basis for discrimination, such as the searchers’ ethnicity, gender, age and employment status, affect the number of contacts they receive from firms. Since we have access to essentially the same information as the firms, we can handle the problems associated with nobserved heterogeneity better than most existing studies of discrimination. We find that, even when we control for other differences, searchers who have non-Nordic names, are old or unemployed receive significantly fewer contacts. Moreover, we find that this matters for the hiring outcome: Searchers who receive more contacts have a higher probability of actually getting hired.

Suggested Citation

  • Eriksson, Stefan & Lagerström, Jonas, 2007. "Detecting discrimination in the hiring process: Evidence from an Internet-based search channel," Working Paper Series 2007:29, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:2007_029
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    References listed on IDEAS

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    Cited by:

    1. Stefan Eriksson & Jonas Lagerström, 2012. "The Labor Market Consequences of Gender Differences in Job Search," Journal of Labor Research, Springer, vol. 33(3), pages 303-327, September.
    2. Stefan Eriksson & Dan-Olof Rooth, 2014. "Do Employers Use Unemployment as a Sorting Criterion When Hiring? Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 104(3), pages 1014-1039, March.
    3. Magnus Carlsson, 2010. "Experimental Evidence of Discrimination in the Hiring of First‐ and Second‐generation Immigrants," LABOUR, CEIS, vol. 24(3), pages 263-278, September.
    4. Olof Åslund & Oskar Nordströum Skans, 2012. "Do Anonymous Job Application Procedures Level the Playing Field?," ILR Review, Cornell University, ILR School, vol. 65(1), pages 82-107, January.
    5. Postepska, Agnieszka & Vella, Francis, 2017. "Persistent Occupational Hierarchies among Immigrant Worker Groups in the United States Labor Market," IZA Discussion Papers 10514, Institute of Labor Economics (IZA).
    6. Stefan Eriksson & Per Johansson & Sophie Langenskiöld, 2017. "What is the right profile for getting a job? A stated choice experiment of the recruitment process," Empirical Economics, Springer, vol. 53(2), pages 803-826, September.
    7. Nancy DiTomaso, 2021. "Why Difference Makes a Difference: Diversity, Inequality, and Institutionalization," Journal of Management Studies, Wiley Blackwell, vol. 58(8), pages 2024-2051, December.
    8. Adermon, Adrian & Hensvik, Lena, 2022. "Gig-jobs: Stepping stones or dead ends?," Labour Economics, Elsevier, vol. 76(C).
    9. Akiomi Kitagawa, 2013. "Long-run Consequences of Ranking Job Applicants by Unemployment Duration: Theoretical and Numerical Analyses," DSSR Discussion Papers 13, Graduate School of Economics and Management, Tohoku University.
    10. Bøg, Martin & Kranendonk, Erik, 2011. "Labor market discrimination of minorities? yes, but not in job offers," MPRA Paper 33332, University Library of Munich, Germany.
    11. Carlsson, Magnus & Fumarco, Luca & Rooth, Dan-Olof, 2018. "Does Labor Market Tightness Affect Ethnic Discrimination in Hiring?," IZA Discussion Papers 11285, Institute of Labor Economics (IZA).
    12. Waddell, Glen R. & Lee, Logan M., 2014. "The Timing of Preference and Prejudice in Sequential Hiring Games," IZA Discussion Papers 8445, Institute of Labor Economics (IZA).
    13. Andersson, Henrik, 2018. "Ethnic Enclaves, Self-Employment and the Economic Performance of Refugees," Working Paper Series 2018:7, Uppsala University, Department of Economics.
    14. Lee, Logan M. & Waddell, Glen R., 2021. "Diversity and the timing of preference in hiring decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 432-459.
    15. Raviv Murciano-Goroff, 2022. "Missing Women in Tech: The Labor Market for Highly Skilled Software Engineers," Management Science, INFORMS, vol. 68(5), pages 3262-3281, May.

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    More about this item

    Keywords

    Job Search; Unobserved Heterogeneity; Discrimination;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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