Communication Architecture Affects Gender Differences in Negotiation

Last registered on April 16, 2024

Pre-Trial

Trial Information

General Information

Title
Communication Architecture Affects Gender Differences in Negotiation
RCT ID
AEARCTR-0013334
Initial registration date
April 09, 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
April 16, 2024, 2:39 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
Bocconi University

Other Primary Investigator(s)

PI Affiliation
Texas A&M University

Additional Trial Information

Status
In development
Start date
2024-04-10
End date
2025-04-10
Secondary IDs
negotiation, gender earnings gap, communication architecture, unstructured bargaining
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We will compare how unaltered audio versus altered audio (i.e., that in which the pitch is shifted to obscure gender) will affect gender differences in negotiation.
External Link(s)

Registration Citation

Citation
Greenberg, Adam Eric and Ragan Petrie. 2024. "Communication Architecture Affects Gender Differences in Negotiation." AEA RCT Registry. April 16. https://doi.org/10.1257/rct.13334-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-04-10
Intervention End Date
2025-04-10

Primary Outcomes

Primary Outcomes (end points)
Earnings in negotiations conducted in an experimental laboratory setting
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
University lab subjects will be recruited to participate in experiments in the Texas A&M Economic Research Laboratory. In each session, subjects will be randomly assigned to the role of buyer or seller, and will be assigned to negotiate over a trading price with randomly matched participants in the opposite role. There will be two treatments assigned as the session level: Voice and Modified Voice. Half of the sessions will require negotiation via Zoom audio without chat; the other half will use the same interface but with pitch-modified audio to obscure the voice (and thus, gender) of participants.

Participants are randomly assigned to the role of buyer or seller and keep the same role for all four rounds of negotiation. Each negotiation is with a new, randomly-matched partner of the opposite role. In each negotiation round, the buyer is assigned an integer-valued private value, drawn randomly from the range [45, 46, 47, . . . , 55], and the seller is assigned an integer-valued private cost, drawn randomly from the range [10, 11, 12, . . . , 20]. In each round, the buyer and seller negotiate over the trading price. The buyer’s profit is equal to the private assigned value minus the agreed-upon trading price; the seller’s profit is equal to the agreed-upon trading price minus the private cost. Participants are given five minutes to negotiate with their partners. If five minutes pass without agreement, then both earn a profit of zero. Costs of delay are introduced as follows: buyers’ private values are reduced by 1 and sellers’ private costs are increased by 1 every 20 seconds beginning at the 3-minute mark until the end of the negotiation. All participants will also respond to a post-experiment survey.

We predict that the gender gap in earnings will be smaller when voice is modified. We also predict that sellers will, on average, earn less than buyers.
Experimental Design Details
Not available
Randomization Method
Done by a computer
Randomization Unit
Audio versus Modified Audio will be randomized at the session level. Role of buyer and seller will be randomized at the individual level (within session).
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
We will cluster at the subject level (128 subjects). Sessions will contain ~16 subjects.
Sample size: planned number of observations
512 negotiations (128 subjects * 4 negotiations per subject)
Sample size (or number of clusters) by treatment arms
128 subjects across the two treatments (i.e., 64 subjects per treatment)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M Institutional Review Board
IRB Approval Date
2024-04-01
IRB Approval Number
STUDY2024-0231
Analysis Plan

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