In Simple Words
Think of a venue bouncer enforcing a dress code for formal attire at every door, including the backstage storage dock where workers only handle wooden crates and never interact with guests.
Observed name gaps across job-skill requirements
- Lowest language-skill decile
- Name callback gap 3.4 percentage points
- Highest language-skill decile
- Name callback gap 6.7 percentage points
Randomized-name effects within observed occupation groups. Occupations were not randomized; no claim that the two effect sizes are equal.
See source →Research question
Statistical discrimination theory predicts that ethnic callback penalties should decrease in technical occupations where language and communication demands are low, yet empirical data reveals uniform discrimination across all skill intensity tiers.
Participants
N = 12,910 resumes mapped across 20 occupational categories categorized by Occupational Information Network (O*NET) language and social skill deciles in Toronto and Montreal, Canada.
Study Design
Audit field experiment linking job postings to O*NET speaking, writing, and social perceptiveness skill requirements (0-100 scale), estimating linear probability models of callback rates across language requirement deciles.
Results
The callback ratio between English-named and foreign-named resumes remained virtually constant at 1.3 to 1.9 across all occupational deciles, showing a 3.4 percentage point callback penalty in low language-requirement jobs like computer programmer/maintenance technician (decile 1, callback ratio 1.4) compared to a 6.7 percentage point penalty in high requirement jobs like executive recruiter/community counselor (decile 10, callback ratio 1.7).
Takeaway
Discontinue assuming technical or non-client-facing roles naturally protect ethnic minority applicants from resume screening bias.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Percentage points
The difference between two percentages.
ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.
Office for National Statistics · Percentages ↗Read more about percentage points →