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Irrational updating based on ethnicity and gender
Initial registration date
June 23, 2020
June 24, 2020 11:08 AM EDT
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Other Primary Investigator(s)
University of Essex
Additional Trial Information
In the absence of complete information about individual characteristics, employers use informative signals to form beliefs about the ability of a worker. In this experiment, we test 1) whether people are Bayesian updaters when considering the ability of others and 2) whether such updating depends on the identity group of the worker. If there is different updating based on a worker’s identity, we will test whether this leads to different hiring rates for different identities.
Intervention Start Date
Intervention End Date
Primary Outcomes (end points)
Belief that a worker performed in the top half after obtaining the information signals
Primary Outcomes (explanation)
Secondary Outcomes (end points)
Whether a worker is hired
Secondary Outcomes (explanation)
Experimental Design Details
Randomization done by Qualtrics.
Was the treatment clustered?
Sample size: planned number of clusters
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
1020 subjects (the four treatment arms are within subject)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Our aim is to have 90% power to detect an effect of 2 percentage points (at the 5% level) for our main test, which we deem as an economically significant effect. We performed a power analysis bootstrapping data from a pilot of 188 subjects, concluding that we need about 1020 observations to detect an effect of this size.
INSTITUTIONAL REVIEW BOARDS (IRBs)