Why Do Some Employers Prefer to Interview Matthew, But Not Samir? New Evidence from Toronto, Montreal and Vancouver

In earlier work (Oreopoulos 2009), thousands of resumes were sent in response to online job postings across Toronto to investigate why Canadian immigrants struggle in the labour market. The fi ndings suggested significant discrimination by name ethnicity and city of experience. This follow-up study focuses more on better understanding exactly why this type of discrimination occurs, that is, whether this discrimination can be attributed to underlying concerns about worker productivity or simply prejudice and whether the behaviour is likely conscious or not. We examine callback rates from resumes sent to online job postings across multiple occupations in Toronto, Montreal, and Vancouver. Substantial differences in callback rates arise again from simply changing an applicant’s name. Combining all three cities, resumes with English-sounding names are 35 percent more likely to receive callbacks than resumes with Indian or Chinese names. This is remarkably consistent with earlier findings from Oreopoulos (2009) for Toronto in better economic circumstances. If name-based discrimination arises from language and social skill concerns, we should expect to observe less discrimination when 1) including other attributes related to these skills on the resume, such as language proficiency and active extracurricular activities; 2) looking at occupations that depend less on these skills, like computer programming and data entry; and 3) listing a name more likely to be an applicant born in Canada, like a Western European name compared to an Indian or Chinese name. In all three cases, we do not find these patterns. We then asked recruiters to explain why they believed name discrimination occurs in the labour market. Overwhelmingly, they responded that employers often treat a name as a signal that an applicant may lack critical language or social skills for the job, which contradicts the conclusions from our quantitative analysis. Taken together, the contrasting fi ndings are consistent with a model of ‘subconscious’ statistical discrimination, where employers justify name and immigrant discrimination based on language skill concerns, but incorrectly overemphasize these concerns without taking into account offsetting characteristics listed on the resume. Pressure to avoid bad hires exacerbates these effects, as does the need to review resumes quickly. Masking names when deciding who to interview, while considering better ways to discern foreign language ability, may help improve immigrants’ chances for labour market success.