Occupational Language Invariance
RCTReview
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.
Picture this
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.
What the evidence says
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).
- Who was studied
- 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.
- How
- 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.
What to do
Discontinue assuming technical or non-client-facing roles naturally protect ethnic minority applicants from resume screening bias.
From the source
"Across a wide range of occupations ranging from computer programmer and web developer, in the lower decile categories of O*NET language and social skills, to receptionist and project manager in higher decile categories, the ratio in callback rates between resumes with English names and ethnic sounding names remains about the same and statistically significant."
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