How do race, gender, and initial signals of productivity affect the willingness to learn more about others?

Last registered on January 26, 2023
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Pre-Trial

Trial Information

General Information

Title
How do race, gender, and initial signals of productivity affect the willingness to learn more about others?
RCT ID
AEARCTR-0010639
Initial registration date
December 14, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 03, 2023, 4:18 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
January 26, 2023, 5:22 PM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Name
Glen Waddell
Affiliation
University of Oregon
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Other Primary Investigator(s)

PI Name
Kyle Raze
PI Affiliation
University of Oregon
Contact Investigator

Additional Trial Information

Status
In development
Start date
2023-02-01
End date
2023-04-01
Keywords
Education, Gender, Lab, Labor
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We consider how people respond to race, gender, and initial signals of productivity when deciding whether to invest in acquiring more information about others. To this end, we have designed a survey task in which we allow subjects to purchase additional information when making incentivized decisions about a series of individuals.
External Link(s)

Registration Citation

Citation
Raze, Kyle and Glen Waddell. 2023. "How do race, gender, and initial signals of productivity affect the willingness to learn more about others?." AEA RCT Registry. January 26. https://doi.org/10.1257/rct.10639-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-02-01
Intervention End Date
2023-04-01

Primary Outcomes

Primary Outcomes (end points)
We will consider 1) whether a signal was purchased and 2) the number of signals purchased.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
We will also consider 3) whether the individual was entered into a random comparison and 4) time to decision.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We employ a within-subjects design to measure how an individual’s race, gender, and initial signal of productivity affect the willingness of others to learn more about the individual.
Experimental Design Details
Not available
Randomization Method
Randomization will occur on a shinyapps.io server using R.
Randomization Unit
Profile (within subject).
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Up to 1,000 subjects.
Sample size: planned number of observations
Up to 20,000 subject-profile observations (up to 1,000 subjects times 20 profiles per subject).
Sample size (or number of clusters) by treatment arms
Up to 4,000 observations with a Black female profile (even split between B-, B, B+, and non-B signals).
Up to 4,000 observations with a Black male profile (even split between B-, B, B+, and non-B signals).
Up to 4,000 observations with a white female profile (even split between B-, B, B+, and non-B signals).
Up to 4,000 observations with a white male profile (even split between B-, B, B+, and non-B signals).
Up to 1,000 observations with an Asian female profile (any signal).
Up to 1,000 observations with an Asian male profile (any signal).
Up to 1,000 observations with a Latina female profile (any signal).
Up to 1,000 observations with a Latino male profile (any signal).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Oregon Research Compliance Services
IRB Approval Date
2022-09-02
IRB Approval Number
STUDY00000500 (MOD00000913)
Analysis Plan