From the paper: “We find little evidence that our results are driven by employers inferring something other than race, such as social class, from the names.” Section 5 deals with this; “Carrie” and “Neil” (low-status white) do just as well as “Emily” and “Geoffrey”, while “Kenya” and “Jamal” (high-status black) do just as poorly as “Latonya” and “Leroy”.
A minor nitpick—this isn’t just about perfectly competent people
Absolutely—I should have said “equally competent” or “reasonably competent”.
I don’t have a particularly strong opinion on your example, though; I’ve rolled it around in my head a bit and can’t quite see how to fit it into the same framework. There are, I believe, organizations and affinity groups advocating for better treatment of fat people, at least. I don’t perceive ‘ugly’ or ‘fat’ as being the same sort of grouping as race, though, and I’m not sure where the difference comes from, exactly.
There was a weakness in the method, though. In appendix table one they not only show how likely it actually is that a baby with a certain name is white/black, they show the results from an independent field survey that asked people to pick names as white or black. In table eight, they only measure the likelihood someone with a certain name is in a certain class (as approximated by mother’s education). Unfortunately, they don’t show what people in general, or employers in particular, actually think. If they don’t know about class differences between “Kenya” and “Latonya,” or the lack of one between “Kenya” and “Carrie,” they can’t make a decision based on class differences as they actually are.
From the paper: “We find little evidence that our results are driven by employers inferring something other than race, such as social class, from the names.” Section 5 deals with this; “Carrie” and “Neil” (low-status white) do just as well as “Emily” and “Geoffrey”, while “Kenya” and “Jamal” (high-status black) do just as poorly as “Latonya” and “Leroy”.
Absolutely—I should have said “equally competent” or “reasonably competent”.
I don’t have a particularly strong opinion on your example, though; I’ve rolled it around in my head a bit and can’t quite see how to fit it into the same framework. There are, I believe, organizations and affinity groups advocating for better treatment of fat people, at least. I don’t perceive ‘ugly’ or ‘fat’ as being the same sort of grouping as race, though, and I’m not sure where the difference comes from, exactly.
This makes me think that you are right.
There was a weakness in the method, though. In appendix table one they not only show how likely it actually is that a baby with a certain name is white/black, they show the results from an independent field survey that asked people to pick names as white or black. In table eight, they only measure the likelihood someone with a certain name is in a certain class (as approximated by mother’s education). Unfortunately, they don’t show what people in general, or employers in particular, actually think. If they don’t know about class differences between “Kenya” and “Latonya,” or the lack of one between “Kenya” and “Carrie,” they can’t make a decision based on class differences as they actually are.