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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
Last updated
June 09, 2020 12:03 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
University of Reading
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.5981-1.0.
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
Intervention
Is the intervention completed?
No
Is 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