OpenIntro Statistics Dataset - law_resume

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dataset-958228382.csv 9.07 KB
Dataset License
Documentation License
No license (All rights reserved)

This dataset was taken from the list of OpenIntro dataset files found at

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


  • class - The resume represented irrelevant details suggestingeither "low" or "high" socioeconomic class.
  • gender - Theresume implied the candidate was either "male" or "female".
  • outcome - If the candidate received an invitation for an"interview" or "not".


For a casual overview, see the academic paper, see Tilcsik A, Rivera LA. 2016. Class Advantage,Commitment Penalty. The Gendered Effect of Social Class Signals in an EliteLabor Market. American Sociological Review 81:6 p1097-1131.

Taken from:

Title Authored on Content type
OpenIntro Statistics Dataset - dream August 9, 2020 - 12:25 PM Dataset
OpenIntro Statistics Dataset - winery_cars August 9, 2020 - 2:38 PM Dataset
R Dataset / Package HSAUR / toothpaste March 9, 2018 - 1:06 PM Dataset
R Dataset / Package HSAUR / pottery March 9, 2018 - 1:06 PM Dataset
R Dataset / Package HistData / Guerry March 9, 2018 - 1:06 PM Dataset