Efficiency, dishonesty and cooperation in corrupt environments

Last registered on April 10, 2024

Pre-Trial

Trial Information

General Information

Title
Efficiency, dishonesty and cooperation in corrupt environments
RCT ID
AEARCTR-0011134
Initial registration date
May 02, 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
May 12, 2023, 5:15 PM EDT

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

Last updated
April 10, 2024, 12:18 PM EDT

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

Locations

Region
Region

Primary Investigator

Affiliation
Burgundy School of Business

Other Primary Investigator(s)

PI Affiliation
University of Oslo
PI Affiliation
University of Gothenburg

Additional Trial Information

Status
In development
Start date
2023-05-02
End date
2024-06-15
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study how efficiency and ethical concerns influence cooperation in a corrupt public good environment.
External Link(s)

Registration Citation

Citation
Jagers, Sverker, Andrea Martinangeli and Marina Povitkina. 2024. "Efficiency, dishonesty and cooperation in corrupt environments ." AEA RCT Registry. April 10. https://doi.org/10.1257/rct.11134-2.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-05-02
Intervention End Date
2024-06-15

Primary Outcomes

Primary Outcomes (end points)
Cooperative behaviours in a linear public good game
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Trust in others, risk tolerance and norm perception as potential mechanisms driving cooperative outcomes
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We randomise whether corrupt behaviours are intentional or unintentional (computer driven), and whether corruption benefits or not the corrupt decision maker.
Experimental Design Details
Not available
Randomization Method
Computerised using the software oTree.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Target 5000 individuals
Sample size: planned number of observations
Target 5000 individuals
Sample size (or number of clusters) by treatment arms
Target 1250 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
MDE=0.112 at alpha a=0.05 and power p=0.8 over standardised outcome variables
IRB

Institutional Review Boards (IRBs)

IRB Name
Comité Ethique de la Recherche
IRB Approval Date
2023-02-14
IRB Approval Number
CERBSB2023-41
Analysis Plan

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