Risk, Betrayal, and Inequality: Decomposing the Trust Game

Last registered on June 09, 2020

Pre-Trial

Trial Information

General Information

Title
Risk, Betrayal, and Inequality: Decomposing the Trust Game
RCT ID
AEARCTR-0005981
Initial registration date
June 08, 2020

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
June 09, 2020, 12:03 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Ghent University

Other Primary Investigator(s)

PI Affiliation
NHH
PI Affiliation
NHH
PI Affiliation
University of St. Gallen

Additional Trial Information

Status
In development
Start date
2020-06-10
End date
2020-07-31
Secondary IDs
Abstract
We propose a complete decomposition of the trust game keeping the measurement context of the underlying behavioural drivers of trust constant. We field this design with a large sample representative of the German population. We analyze the data using both non-paramatric approaches, and structural models using Bayesian hierarchical mothods.
External Link(s)

Registration Citation

Citation
Cappelen, Alexander et al. 2020. "Risk, Betrayal, and Inequality: Decomposing the Trust Game." AEA RCT Registry. June 09. https://doi.org/10.1257/rct.5981
Experimental Details

Interventions

Intervention(s)
We field measures of trust, and several other motives may may drive trusting behaviour.
Intervention Start Date
2020-06-10
Intervention End Date
2020-07-31

Primary Outcomes

Primary Outcomes (end points)
Behavioural drivers of trust
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We field a new measurement tool of trust. Potential behavioural drivers of trust are then measured using similar tasks, to keep the measurement context constant.
Experimental Design Details
see attachment for details.
Randomization Method
The level of inequality is randomly assigned. This is randomized by the computer.
Randomization Unit
Individual respondents.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2000 individuals.
Sample size: planned number of observations
2000 individuals, with 9 measurements per individual.
Sample size (or number of clusters) by treatment arms
1000 and 1000
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ghent University, Faculty of Economics and Business
IRB Approval Date
2020-04-10
IRB Approval Number
FEB 2020 G
Analysis Plan

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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