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Causes and consequences of referrals
Last registered on January 04, 2021

Pre-Trial

Trial Information
General Information
Title
Causes and consequences of referrals
RCT ID
AEARCTR-0005840
Initial registration date
May 12, 2020
Last updated
January 04, 2021 10:49 AM EST
Location(s)

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Primary Investigator
Affiliation
University of Minnesota
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2021-01-12
End date
2021-07-26
Secondary IDs
Abstract
This study conducts a field experiment to understand the motivations (or causes) for making referrals and the consequences of referrals on the candidate pool using an MBA program context (i.e., alumni referrals to a program).
External Link(s)
Registration Citation
Citation
Manchester, Colleen. 2021. "Causes and consequences of referrals." AEA RCT Registry. January 04. https://doi.org/10.1257/rct.5840-1.1.
Experimental Details
Interventions
Intervention(s)
Treatments include a call to action message developed based on distinct motivations for making a referral, which are sent to alumni via email. Further, treatments are bundled with additional communication to the alumni that varies based on its gender saliency.
Intervention Start Date
2021-01-12
Intervention End Date
2021-02-22
Primary Outcomes
Primary Outcomes (end points)
Key outcomes include action taken by alumni (i.e., opening email, populating form), quality of referred candidate (i.e., open email, becomes active lead, submits application, characteristics if apply) and gender of the referred candidate (using first name).
Primary Outcomes (explanation)
The 2 x 3 treatments will be evaluated by pooling across different dimensions -e.g., effect of diversity pooled across motivations. We will also look to see if the diversity message interacts with the motivation (e.g., does diversity primer matter more for help a friend motivation?).
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
2 x 3 design.
Experimental Design Details
Not available
Randomization Method
Groups randomized after stratifying based on gender, age, degree year, location, and program type. Conducted in Stata.
Randomization Unit
Individual level.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
Approximately 11,500 individuals
Sample size: planned number of observations
11,500
Sample size (or number of clusters) by treatment arms
~2,000 per arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number