OpenIntro Statistics Dataset - resume
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This dataset was taken from the list of OpenIntro dataset files found at https://www.openintro.org/data/. OpenIntro features a number of free books that can be used in high school and AP statistics courses. The license on these datasets is currently unknown. You can find out more about OpenIntro at https://www.openintro.org. resumeThis experiment data comes from a study that sought to understand theinfluence of race and gender on job application callback rates. The studymonitored job postings in Boston and Chicago for several months during 2001and 2002 and used this to build up a set of test cases. Over this timeperiod, the researchers randomly generating resumes to go out to a jobposting, such as years of experience and education details, to create arealistic-looking resume. They then randomly assigned a name to the resumethat would communicate the applicant's gender and race. The first nameschosen for the study were selected so that the names would predominantly berecognized as belonging to black or white individuals. For example, Lakishawas a name that their survey indicated would be interpretted as a blackwoman, while Greg was a name that would generally be interpretted to beassociated with a white male. Variables
SourceBertrand M, Mullainathan S. 2004. "Are Emily and Greg More Employablethan Lakisha and Jamal? A Field Experiment on Labor Market Discrimination".The American Economic Review 94:4 (991-1013). http://www.nber.org/papers/w9873 DetailsBecause this is an experiment, where the race and gender attributes arebeing randomly assigned to the resumes, we can conclude that anystatistically significant difference in callback rates is causally linked tothese attributes. Do you think it's reasonable to make a causal conclusion? You may have somehealth skepticism. However, do take care to appreciate that this was anexperiment: the first name (and so the inferred race and gender) wererandomly assigned to the resumes, and the quality and attributes of a resumewere assigned independent of the race and gender. This means that anyeffects we observe are in fact causal, and the effects related to race areboth statistically significant and very large: white applicants had about a50% better chance of getting a callback than black candidates. Do you still have doubts lingering in the back of your mind about thevalidity of this study? Maybe a counterargument about why the standardconclusions from this study may not apply? The article summarizing theresults was exceptionally well-written, and it addresses many potentialconcerns about the study's approach. So if you're feeling skeptical aboutthe conclusions, please find the link above and explore! Taken from: https://www.openintro.org/data/index.php?data=resume. |
Title | Authored on | Content type |
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dataset-448801590.csv | 688.84 KB |