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Abstract: "We study the results of a massive nationwide correspondence experiment sending more than 83,000 fictitious applications with randomized characterist
by phnofive 5y ago
Abstract:
"We study the results of a massive nationwide correspondence experiment sending more than 83,000 fictitious applications with randomized characteristics to geographically dispersed jobs posted by 108 of the largest U.S. employers.
Distinctively Black names reduce the probability of employer contact by 2.1 percentage points relative to distinctively white names. The magnitude of this racial gap in contact rates differs substantially across firms, exhibiting a between-company standard deviation of 1.9 percentage points.
Despite an insignificant average gap in contact rates between male and female applicants, we find a between-company standard deviation in gender contact gaps of 2.7 percentage points, revealing that some firms favor male applicants while others favor women.
Company-specific racial contact gaps are temporally and spatially persistent, and negatively correlated with firm profitability, federal contractor status, and a measure of recruiting centralization. Discrimination exhibits little geographical dispersion, but two digit industry explains roughly half of the cross-firm variation in both racial and gender contact gaps. Contact gaps are highly concentrated in particular companies, with firms in the top quintile of racial discrimination responsible for nearly half of lost contacts to Black applicants in the experiment.
Controlling false discovery rates to the 5% level, 23 individual companies are found to discriminate against Black applicants. [See Appendix] Our findings establish that systemic illegal discrimination is concentrated among a select set of large employers, many of which can be identified with high confidence using large scale inference methods."
- phnofive 5y agoWould have been nice to see the stats for the twenty-three clear offenders up top (p. 66) - still trying to figure it out now. I'm open to being convinced that Census data for racially associated names is common knowledge among recruiters, but I'm not there yet.
- nerdponx 5y agoI suspect that you could predict the "Blackness" of a name using character n-grams, with reasonable accuracy. Not to mention given+family name combos as mentioned in a sibling comment. You don't need to know the actual Census data for each name.
- babesh 5y agoI bet that you can figure it out based on the information given: Fortune 500, automotive, service, furniture.
- option 5y agoI lived in US for over 10 years working in tech. What is “distinctively white/black names”??
- deleted 5y ago[deleted]
- david38 5y agoFor black - [Terrell, Malik , Tyrone ] + [Johnson, Jackson, Washington] For white - [Jack, Conner, Luke Scott] + [Anything Italian, Smith, James, Anything German, etc]
- mc32 5y agoI’ve known both white and black Tyrones, so that one is less clear cut.
- deleted 5y ago[deleted]
- jldugger 5y agoCheck out the table B2 in the appendix if you need examples. Basically: German (Schmidt, Stolzfus) => white, French (Francois, Pierre) or English (Witherspoon, Smalls) => black. Presumably this mapping comes from freedmen taking surnames from their former owners, and german settlers being relatively late to America, and chiefly in the northern states.