The Effect of Monitoring on Ethnic Discrimination
Last registered on March 26, 2020

Pre-Trial

Trial Information
General Information
Title
The Effect of Monitoring on Ethnic Discrimination
RCT ID
AEARCTR-0005602
Initial registration date
March 26, 2020
Last updated
March 26, 2020 1:24 PM EDT
Location(s)

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Primary Investigator
Affiliation
FAU-Erlangen-Nürnberg
Other Primary Investigator(s)
PI Affiliation
FAU-Erlangen-Nürnberg
Additional Trial Information
Status
In development
Start date
2020-03-30
End date
2020-07-31
Secondary IDs
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.
External Link(s)
Registration Citation
Citation
Baker, Edmund and Veronika Grimm. 2020. "The Effect of Monitoring on Ethnic Discrimination." AEA RCT Registry. March 26. https://doi.org/10.1257/rct.5602-1.0.
Experimental Details
Interventions
Intervention(s)
See experimental design.
Intervention Start Date
2020-03-30
Intervention End Date
2020-07-31
Primary Outcomes
Primary Outcomes (end points)
CV Score
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Experience Score, Teamwork Score, Customer Service Score, Time Spent, Subject Changed their Mind
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Subjects are asked to read a job description for an office manager and then to assess a number of randomly generated CVs that vary according to work experience, education, interests, gender and ethnicity. Subjects are asked to give each CV a score from one to ten. The control group will only be informed of the task at hand. One treatment is informed of the task and asked to confirm that their input data will be scrutinised by our team. A second treatment is informed of the task and told that they are participating in an online experiment. Subjects are asked to give a general score out of ten for each CV and then three specific scores for experience, teamwork, and customer service respectively. This allows us to further detect the mechanism by which any ethnic discrimination takes place.
Experimental Design Details
Not available
Randomization Method
Randomisation by computer program.
Randomization Unit
Individuals are randomly allocated to treatment. CVs are randomly generated.
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
1440 Individuals/Subjects
Sample size: planned number of observations
8640 CVs
Sample size (or number of clusters) by treatment arms
480 Individuals Control
480 Individuals Monitoring Treatment
480 Individuals Experiment Treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
90% power to detect a 0.2 standard deviation effect size in CV_score out of ten for critical value of 0.05. 50% power to detect a 0.1 standard deviation.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
German Association for Experimental Economic Research e.V. (GfeW)
IRB Approval Date
2020-02-11
IRB Approval Number
mbmSqefS