These studies are going to become harder and harder to do as automatic credential verification becomes the norm. Made up resumes will get flagged before they ever get to a human.
First names: "We draw racially distinctive first names from two sources. First, we use the
same set of names in Bertrand and Mullainathan (2004), which are in turn drawn from
Massachusetts birth records covering 1974 to 1979. Second, we supplement with names
drawn from administrative records on speeding infractions and arrests provided by the
North Carolina Administrative Office of the Courts and covering 2006 to 2018. We pick
the most common names among drivers born between 1974 and 1979 with race- and
gender-specific shares of at least 90%"
Last names: "Last names are drawn from 2010 Decennial Census data. We use the names with
highest race-specific shares that occur at least 10,000 times, picking 26 total for each
race group"
A while back the United States government assembled a list of names based on last names and applied it to demographics. They then set up an algorithm to check it against car loans and then assume discrimination based on the results.
They probably used this same method to assume an answer.
vinni2|4 years ago
908B64B197|4 years ago
bsd44|4 years ago
nerd_light|4 years ago
https://www.nber.org/system/files/working_papers/w29053/w290...
First names: "We draw racially distinctive first names from two sources. First, we use the same set of names in Bertrand and Mullainathan (2004), which are in turn drawn from Massachusetts birth records covering 1974 to 1979. Second, we supplement with names drawn from administrative records on speeding infractions and arrests provided by the North Carolina Administrative Office of the Courts and covering 2006 to 2018. We pick the most common names among drivers born between 1974 and 1979 with race- and gender-specific shares of at least 90%"
Last names: "Last names are drawn from 2010 Decennial Census data. We use the names with highest race-specific shares that occur at least 10,000 times, picking 26 total for each race group"
HonestOp001|4 years ago
They probably used this same method to assume an answer.
bobbylarrybobby|4 years ago