The Effect of Monitoring on Ethnic Discrimination

Last registered on June 23, 2020


Trial Information

General Information

The Effect of Monitoring on Ethnic Discrimination
Initial registration date
March 26, 2020
Last updated
June 23, 2020, 6:04 AM EDT


Primary Investigator


Other Primary Investigator(s)

PI Affiliation

Additional Trial Information

In development
Start date
End date
Secondary IDs
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.)
External Link(s)

Registration Citation

Baker, Edmund and Veronika Grimm. 2020. "The Effect of Monitoring on Ethnic Discrimination." AEA RCT Registry. June 23.
Experimental Details


See experimental design.
Intervention Start Date
Intervention End Date

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,
(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)

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
Randomization Method
Randomisation by computer program.
Randomization Unit
Individuals are randomly allocated to treatment. CVs are randomly generated.
Was the treatment clustered?

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.

Institutional Review Boards (IRBs)

IRB Name
German Association for Experimental Economic Research e.V. (GfeW)
IRB Approval Date
IRB Approval Number


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Data Collection Complete
Data Publication

Data Publication

Is public data available?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials