Communication and Negotiations

Last registered on September 12, 2024

Pre-Trial

Trial Information

General Information

Title
Communication and Negotiations
RCT ID
AEARCTR-0014165
Initial registration date
August 28, 2024

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
September 12, 2024, 4:59 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

Affiliation
University of Texas at Dallas

Other Primary Investigator(s)

PI Affiliation
University of Texas at Dallas

Additional Trial Information

Status
In development
Start date
2024-08-26
End date
2027-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In a lot of real-life situations, negotiations are complex. When people negotiate, the value to be divided is usually uncertain, and people talk about many things other than just the price (i.e., a single number). This study will investigate the role of complex communication in negotiations.
External Link(s)

Registration Citation

Citation
Bolton, Gary and Junya Zhou. 2024. "Communication and Negotiations." AEA RCT Registry. September 12. https://doi.org/10.1257/rct.14165-1.0
Experimental Details

Interventions

Intervention(s)
This lab study will investigate how memory-based communication influences strategic bargaining.
Intervention Start Date
2024-08-26
Intervention End Date
2027-08-31

Primary Outcomes

Primary Outcomes (end points)
Rejection rate and proportion of equitable splits
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Truth-telling rate about the value
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This lab study will investigate how memory-based communication influences strategic bargaining.
Experimental Design Details
Not available
Randomization Method
Subjects will be randomly rematched by the computer in each individual round in each session.
Randomization Unit
Experimental sessions
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
As we adopt random rematching between proposers and responders within each session, the cluster is at the session level. We plan to run 4 sessions for each of the four treatments, and a total of 16 sessions.
Sample size: planned number of observations
We plan to recruit an average of 16 individuals for each session and around 256 subjects in total. 256 individuals, each making a choice for up to 20 rounds.
Sample size (or number of clusters) by treatment arms
256 subjects, split equally among the four treatments. We aim to run 16 sessions of 16 subjects. Depending on turnout, each session might have slightly more or slightly fewer subjects.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
The University of Texas at Dallas IRB
IRB Approval Date
2024-05-29
IRB Approval Number
IRB-24-676