Racial Discrimination: Expanded

Continuing on an earlier post, here is the data about the first names used, their prevalence in the specific group (black/white male/female) and the percentage who received calls for interviews in the study:

White-Sounding Black-sounding
Name Frequency Mean Call-back Name Frequency Mean Call-back
Females
Emily 4.7% 8.3% Aisha 3.6% 2.2%
Anne 5.0% 9.0% Keisha 3.7% 3.8%
Jill 4.2% 9.3% Tamika 5.3% 5.4%
Allison 4.7% 9.4% Lakisha 4.1% 5.5%
Sarah 3.9% 9.8% Tanisha 4.2% 6.3%
Meredith 3.9% 10.6% Latoya 4.6% 8.8%
Laurie 4.0% 10.8% Kenya 4.0% 9.1%
Carrie 3.5% 13.1% Latonya 4.7% 9.1%
Kristen 4.4% 13.6% Ebony 4.3% 10.5%
Males
Neil 1.6% 6.6% Rasheed 1.4% 3.0%
Geoffrey 1.2% 6.8% Tremayne 1.4% 4.3%
Brett 1.2% 6.8% Kareem 1.3% 4.7%
Brendan 1.3% 7.7% Darnell 0.9% 4.8%
Greg 1.0% 7.8% Tyrone 1.6% 5.3%
Todd 1.4% 8.7% Jamal 1.2% 6.6%
Matthew 1.4% 9.0% Hakim 1.1% 7.3%
Jay 1.4% 13.2% Leroy 1.3% 9.4%
Brad 1.3% 15.9% Jermaine 1.1% 11.3%

I have a few more excerpts and thoughts on this, but right now I have to go for dinner with a friend.

To be continued.

NOTE: All the tables and quotes belong to Bertrand and Mullainathan and are from their paper “Are Emily and Brendan More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination.” All copyrights belong to the authors or to the publisher of their paper.

Author: Zack

Dad, gadget guy, bookworm, political animal, global nomad, cyclist, hiker, tennis player, photographer

3 thoughts on “Racial Discrimination: Expanded”

  1. Interesting. I tend to think of Aisha as a “classy” name – and all other things being equal, I’d probably call back an Allison before a Kristen. I wonder how much of the discrepancy can simply be explained by employers thinking that certain names sound nicer than others.

  2. Racial Discrimination: Post 3

    Looking at the data for the different names from the previous post, a few things come to mind. There is a great variation even within a category. What is the reason for that? Do people like Kristen so much better…

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