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Description:

Resumes were sent out to 316 top law firms in the United States, and there were two randomized characteristics of each resume. First, the gender associated with the resume was randomized by assigning a first name of either James or Julia. Second, the socioeconomic class of the candidate was randomly assigned and represented through five minor changes associated with personal interests and other other minor details (e.g. an extracurricular activity of sailing team vs track and field). The outcome variable was whether the candidate was received an interview.

Variables:

  • class - The resume represented irrelevant details suggesting either "low" or "high" socioeconomic class.

  • gender - The resume implied the candidate was either "male" or "female".

  • outcome - If the candidate received an invitation for an "interview" or "not".

Link To Google Sheets:

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References/Notes/Attributions:

Source

For a casual overview, see https://hbr.org/2016/12/research-how-subtle-class-cues-can-backfire-on-your-resume. For the academic paper, see Tilcsik A, Rivera LA. 2016. Class Advantage, Commitment Penalty. The Gendered Effect of Social Class Signals in an Elite Labor Market. American Sociological Review 81:6 p1097-1131. http://journals.sagepub.com/doi/abs/10.1177/0003122416668154.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Gender__Socioeconomic_Class__and_Interview_Invites_1442_57.csv")

R Coding Interface:


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