I have a question, just because I don't know if there is data on this.
I've seen a bunch of studies on things like "stereotypically-african-american-name" vs "stereotypically-white-name", which are good evidence as to why a good hiring process should remove personally-identifying details from resumes.
Not just the name of the applicant, either -- school names and locations can also introduce unfair biases. Company names are unavoidable, I think: there are only so many companies that fit the description of "Social Network, Global, >10k employees, uses lots of Javascript" or "Privatized Intelligence Service, Global, >100k employees, uses lots of Go".
Buuuuuuut... is there research on what happens when you expand the number of dimensions?
E.g., add in a mix of broad cultural backgrounds (Pan-European, Latin, Arab, Chinese, African, etc.), test different raraties ("Smith" is common, "Chaucer" is rare, both are Anglo)
Does "Victoria Henderson" garner a statistically different response to "Vitalija Herrera" (Anglo vs Lithuanian)? What about "Nyala Aregawi" vs "Nadya Ahane" (Mixed Russian-Japanese)?
What happens when we mix in popular fictional names?
Solid bet there are boys out there named "Thor" and "Bilbo" by parents that are fans of Star Wars.
No idea what actual outcomes might be, the data could yield interesting results on hiring biases.