x

NEW UPDATE: Completed trials may now upload and register supplementary documents (e.g. null results reports, populated pre-analysis plans, or post-trial results reports) in the Post Trial section under Reports, Papers, & Other Materials.
Irrational updating based on ethnicity and gender
Last registered on June 24, 2020

Pre-Trial

Trial Information
General Information
Title
Irrational updating based on ethnicity and gender
RCT ID
AEARCTR-0006041
Initial registration date
June 23, 2020
Last updated
June 24, 2020 11:08 AM EDT
Location(s)

This section is unavailable to the public. Use the button below to request access to this information.

Request Information
Primary Investigator
Affiliation
Lund University
Other Primary Investigator(s)
PI Affiliation
University of Essex
Additional Trial Information
Status
In development
Start date
2020-06-24
End date
2021-12-31
Secondary IDs
Abstract
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.
External Link(s)
Registration Citation
Citation
Campos-Mercade, Pol and Friederike Mengel. 2020. "Irrational updating based on ethnicity and gender." AEA RCT Registry. June 24. https://doi.org/10.1257/rct.6041-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-06-24
Intervention End Date
2020-06-25
Primary Outcomes
Primary Outcomes (end points)
Belief that a worker performed in the top half after obtaining the information signals
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Whether a worker is hired
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
N/A
Experimental Design Details
Not available
Randomization Method
Randomization done by Qualtrics.
Randomization Unit
Subjects
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
1020 subjects
Sample size: planned number of observations
4080 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.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number