Endogenous Network Formation in Local Public Goods: An experimental analysis

Last registered on November 19, 2023
View Trial History

Pre-Trial

Trial Information

General Information

Title
Endogenous Network Formation in Local Public Goods: An experimental analysis
RCT ID
AEARCTR-0010899
Initial registration date
February 01, 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 09, 2023, 9:34 AM EST

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

Last updated
November 19, 2023, 6:17 AM EST

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

Locations

Country
China
Region

Primary Investigator

Name
Ying Chen
Affiliation
University of Nottingham Ningbo China
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2021-03-01
End date
2021-06-30
Keywords
Behavior, Lab
Additional Keywords
Local public goods, Network formation
JEL code(s)
C91, D85, H41
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study how much agents produce and the network structures that are formed endogenously by their linking decisions which facilitate the sharing of output.
External Link(s)

Registration Citation

Citation
Chen, Ying. 2023. "Endogenous Network Formation in Local Public Goods: An experimental analysis." AEA RCT Registry. November 19. https://doi.org/10.1257/rct.10899-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-03-01
Intervention End Date
2021-06-30

Primary Outcomes

Primary Outcomes (end points)
Link to whom and how much to contribute to a public good game
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Lab experiment. Participants work as a group. Each participant need to collect experimental units. They can collect by producing by themselves or exchange with other participants by initiating costly links. Each participant might has different ability of producing.
Experimental Design Details
Randomization Method
By a computer. Participants are randomly assigned into 12 treatments, and they are randomly assigned into one of the groups in each treatment.
Randomization Unit
1) Participants will be randomly assigned into one of the 12 groups. 2) Whether this group will be treatment or control is also randomly determined by computer before experiment start.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2 universitites
Sample size: planned number of observations
304 university students, 152 students from university 1 and 152 students from university 2.
Sample size (or number of clusters) by treatment arms
24 students in the control group, and each treatment group contains 24-32 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
2021-01-29
IRB Approval Number
N/A
Analysis Plan

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