How social identity affect network formation and public good provision?

Last registered on February 13, 2023

Pre-Trial

Trial Information

General Information

Title
How social identity affect network formation and public good provision?
RCT ID
AEARCTR-0010922
Initial registration date
February 08, 2023

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
February 13, 2023, 10:39 AM EST

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

Locations

Region

Primary Investigator

Affiliation
University of Nottingham Ningbo China

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2023-02-20
End date
2023-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This is a lab experiment. We would like to idenfify when participants are assigned different social identities, how they choose neighbours to play public good game.
External Link(s)

Registration Citation

Citation
Chen, Ying. 2023. "How social identity affect network formation and public good provision? ." AEA RCT Registry. February 13. https://doi.org/10.1257/rct.10922-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-02-21
Intervention End Date
2023-04-29

Primary Outcomes

Primary Outcomes (end points)
Participants' contribution level in playing the public good, and who they choose to play the public good game.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This is a 2 by 2 experiment. In first dimention, we vary the initial status of the "society" - i.e., participants are mixed/divided by their social identities. In the second dimention, we vary the flexibility of change their relationships - i.e., a participant can easily/ not so easy to build/break a connection with another participant.
Experimental Design Details
Randomization Method
Public lottery.
Randomization Unit
Individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
400 undergraduate students.
Sample size: planned number of observations
400 undergraduate students.
Sample size (or number of clusters) by treatment arms
There are 4 treatments. Each treatment contains 100 students.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
University of Nottingham Ningbo Research Ethics Panel
IRB Approval Date
2022-12-09
IRB Approval Number
N/A

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials