Revisiting Trust and Reciprocity: A Replication and Extension of Cox (2004)

Last registered on June 15, 2023
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Pre-Trial

Trial Information

General Information

Title
Revisiting Trust and Reciprocity: A Replication and Extension of Cox (2004)
RCT ID
AEARCTR-0011545
Initial registration date
June 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
June 15, 2023, 4:55 PM EDT

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

Locations

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Primary Investigator

Name
Robert Mayo
Affiliation
Concordia College
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2023-06-19
End date
2023-12-31
Keywords
Behavior
Additional Keywords
Trust, Reciprocity, Online Experiment, Mechanical Turk, Replication
JEL code(s)
C99, D31, D64
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We examine the robustness of Cox (2004) “How to Identify Trust and Reciprocity” to a change of subject pool from in-person laboratory subjects to online subjects recruited from Mechanical Turk.
External Link(s)

Registration Citation

Citation
Mayo, Robert. 2023. "Revisiting Trust and Reciprocity: A Replication and Extension of Cox (2004)." AEA RCT Registry. June 15. https://doi.org/10.1257/rct.11545-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-06-19
Intervention End Date
2023-12-31

Primary Outcomes

Primary Outcomes (end points)
Subjects’ choices
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
1) In the first replication, we reduce the initial endowments from the $10 used in Cox (2004) to $1.
2) In the second replication, we retain the $1 endowments and move the venue from in-person to online using Mechanical Turk workers as subjects.
Experimental Design Details
Not available
Randomization Method
Random number generator. In each session we will assign a randomly generated number to each subject. The subject with the lowest number will be assigned the role of monitor. If there are an odd number of subjects remaining, the next lowest number will be the monitor's helper. The remaining subjects will then be evenly divided into two groups with subjects with lower numbers assigned to group X and higher numbers assigned to group Y.
Randomization Unit
Individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
0
Sample size: planned number of observations
94 Subject pairs in the in-person replication and 94 subject pairs in the online replication.
Sample size (or number of clusters) by treatment arms
In the in-person replication:
32 subject pairs in Trust A. as defined in Cox (2004).
30 subject pairs in Trust B.
32 subject pairs in Trust C.

In the online replication:
32 subject pairs in Trust A. as defined in Cox (2004).
30 subject pairs in Trust B.
32 subject pairs in Trust C.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Concordia College Department Chair IRB approval.
IRB Approval Date
2023-06-05
IRB Approval Number
N/A
Analysis Plan