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Ethnocultural identity and hiring decisions: The role of social desirability and employer bias

Author

Listed:
  • Louise Devos

  • Kristen du Bois
  • Stijn Baert
  • Louis Lippens

Abstract

Hiring discrimination against candidates from ethnocultural minority groups is a persistent concern in contemporary labour markets. This study examines how professional recruiters evaluate fictitious job applicants with profiles that systematically vary in signals that form ethnocultural identity rather than isolated minority markers. Using a preregistered factorial survey experiment true to recruiters’ organisational context, we assess how greater perceived distance from the ethnocultural majority is associated with hiring intentions. Structural equation modelling shows that lower perceived ethnocultural alignment is strongly and negatively associated with the likelihood of a candidate being considered for a job interview. This bias is also reflected in the extent to which recruiters identify with a candidate, as well as in taste-based expectations and competence assessments related to communication, efficiency, and leadership. Methodologically, we reinforce the credibility of the experimental findings by explicitly addressing socially desirable responses using three complementary approaches. First, we used a validated scale that captures socially desirable response tendencies, excluding respondents with a strong tendency to such responding. Second, we implemented the nominative technique, reducing the normative pressure to report personal views. Third, we employed the Bayesian truth serum, weighting responses based on their informativeness and honesty. Across all specifications, perceived alignment with the ethnocultural majority emerges as a robust and consistent correlate of hiring intentions.

Suggested Citation

  • Louise Devos & Kristen du Bois & Stijn Baert & Louis Lippens, 2026. "Ethnocultural identity and hiring decisions: The role of social desirability and employer bias," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 26/1131, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:26/1131
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    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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