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Diversity and Peer Effects
Last registered on October 07, 2019

Pre-Trial

Trial Information
General Information
Title
Diversity and Peer Effects
RCT ID
AEARCTR-0004820
Initial registration date
October 05, 2019
Last updated
October 07, 2019 10:46 AM EDT
Location(s)

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Primary Investigator
Affiliation
Harvard University
Other Primary Investigator(s)
PI Affiliation
Harvard University
PI Affiliation
London School of Economics
Additional Trial Information
Status
In development
Start date
2019-10-06
End date
2021-08-01
Secondary IDs
Abstract
We study the role of social interactions in shaping the evolution of political values and attitudes. Social interactions --- especially through the public expression of political values and attitudes --- interact with social image considerations, affecting not only belief updating about the social environment, but also information sharing within groups. This could generate multiple equilibria for the social group, depending on prior beliefs about the social environment and the nature of early interactions. To study this question, we combine a panel survey with a field experiment at a major US university. Our results are relevant to a wide range of settings in which social norms shape social learning.
External Link(s)
Registration Citation
Citation
Rao, Aakaash, David Yang and Noam Yuchtman. 2019. "Diversity and Peer Effects." AEA RCT Registry. October 07. https://doi.org/10.1257/rct.4820-1.1.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
Intervention 1: We collaborate with the course instructor to assign students to study groups that vary in composition. In order to incentivize students to study together, we provide study groups with a stipend to purchase food and beverages at their meetings.
Intervention 2: We vary whether students are told about the private beliefs of their fellow study group members.
Intervention Start Date
2019-10-06
Intervention End Date
2021-01-31
Primary Outcomes
Primary Outcomes (end points)
Survey measures of public and private beliefs
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We assess the effects of our intervention (described above) on a range of social outcomes, as measured through surveys.
Experimental Design Details
Not available
Randomization Method
Randomization is done in office via an R script (with a specified seed for reproducibility).
Randomization Unit
Students randomized into study groups; study groups randomized into a misperceptions correction treatment.
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
Up to 100 groups
Sample size: planned number of observations
Up to 500 students
Sample size (or number of clusters) by treatment arms
We anticipate around 100 groups and 400-500 study participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Approximately 0.34 standard deviations
Supporting Documents and Materials

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IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Chicago Social and Behavioral Sciences IRB
IRB Approval Date
2019-10-03
IRB Approval Number
IRB19-1497