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Abstract Studies show that CVs with typically black names receive fewer callbacks than otherwise identical CVs with typically white names (Zschirnt and Ruedin, 2016). However, studies in a more experimental setting have failed to replicate a penalty for black CVs (Kessler et al., 2019). One hypothesis for this discrepancy is that subjects hide their prejudice when they are being monitored. We test this hypothesis by measuring discrimination towards black CVs in the United States under conditions in which the subjects are either aware or unaware that they are being monitored. Studies show that CVs with typically black names receive fewer callbacks than otherwise identical CVs with typically white names (Zschirnt and Ruedin, 2016). However, studies in a more experimental setting have failed to replicate a penalty for black CVs (Kessler et al., 2019). One hypothesis for this discrepancy is that subjects hide their prejudice when they are being monitored. We test this hypothesis by measuring discrimination towards black CVs in the United States under conditions in which the subjects are either aware or unaware that they are being monitored. (For Data after 23.06.2020 we extend the analysis to investigate which groups of people discriminate, and which groups react to their being monitored.)
Last Published March 26, 2020 01:24 PM June 23, 2020 06:04 AM
Secondary Outcomes (End Points) Experience Score, Teamwork Score, Customer Service Score, Time Spent, Subject Changed their Mind Experience Score, Teamwork Score, Customer Service Score, Time Spent, Subject Changed their Mind, (For data collected after 23.06.2020: the interaction of Trump Vote Share with Treatment Effect)
Secondary Outcomes (Explanation) (For data collected after 23.06.2020: Trump Vote Share is the share of people who voted for Trump in 2016 in the geographical area of participant, thus we are interested in how Trump voting areas differ from Clinton voting areas w.r.t. Treatment Effect)
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