Quota Rules and Holdout

Last registered on May 11, 2026

Pre-Trial

Trial Information

General Information

Title
Quota Rules and Holdout
RCT ID
AEARCTR-0018582
Initial registration date
May 08, 2026

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 11, 2026, 9:21 AM 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
The University of Queensland

Other Primary Investigator(s)

PI Affiliation
The University of Queensland
PI Affiliation
Adelaide University

Additional Trial Information

Status
In development
Start date
2026-05-18
End date
2026-06-05
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project studies whether quota rules can reduce holdout problems when a buyer needs to acquire several related properties. In the experiment, one buyer bargains with three sellers under either a unanimity rule, where every seller must agree, or a quota rule, where the project can proceed once enough sellers agree. We test whether quota rules make projects more likely to be completed, reduce delays, and change how the gains from trade are divided between buyers and sellers.
External Link(s)

Registration Citation

Citation
Breig, Zachary, Metin Uyanik and Duygu Yengin. 2026. "Quota Rules and Holdout." AEA RCT Registry. May 11. https://doi.org/10.1257/rct.18582-1.0
Experimental Details

Interventions

Intervention(s)
The experiment will implement a mixed between- and within-subject design: participants will be randomized into either the quota rule or unanimity rule in each round. Different sessions will have different personal values for holding the unit.

Intervention Start Date
2026-05-18
Intervention End Date
2026-06-05

Primary Outcomes

Primary Outcomes (end points)
Our outcome variables are: (1) whether the project was completed, (2) whether at least two deals were made, (3) buyer surplus, (4) average seller surplus, and (5) minimum seller surplus.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our experiment is designed to compare the “quota rule” to the “unanimity rule” in the context of strata sales. Participants engage in a multilateral bargaining problem between a buyer and three sellers. Each seller starts the game holding a single unit, which has market value V_A/3. Their personal value for holding the unit is V/3. The buyer has value S for owning all three units and thus “completing the project”, but only receives the market value for each unit if not all three units are purchased. Unanimity requires that the buyer make individual deals with each seller, while the quota rule forces the last seller to sell at the market price if any two sellers make deals.

Subjects begin the experiment by reviewing instructions that describe the structure of the games they will participate in. Subjects complete a quiz and receive feedback about the correct answers for the quiz. They then move on to complete bargaining matches. Subjects continue playing new matches until either they complete 30 matches or the 95-minute session limit is reached, with the first match to finish after this cutoff serving as the final match of the experiment.

In the experiment, participants are randomly assigned the roles of “buyer” or “seller”, with roles being re-randomized each match. In odd rounds, buyers must make offers between 500 and 5000 to each of the sellers that remain active (i.e. those that have not already sold their unit). Sellers then observe all offers that were made and can accept or reject their offer. In even rounds, each active seller makes a request to the buyer that is between 500 and 5000. The buyer observes all requests and choose which, if any, to accept. All offers and requests are restricted to being multiples of 50. After each round, subjects are reminded of the current state of the game, including who has already made deals and for how much. Then, if the project has not already been completed, the match continues with probability delta. In all sessions, V_A = 1500, A = 7500, delta = 0.6, and the buyer’s endowment (from which they make offers) is 9000.

Participants are provided with several tools to help them make decisions. In all rounds, all participants see a table describing the current state of the game. This shows them current payoffs, current offers or requests, whether those offers or requests were accepted, and any previously made deals. Additionally, when sellers are making the decision of whether to accept or reject, they are reminded of the consequences of each of these options and how those consequences depend on other sellers’ choices.

We use a mixed between-subject and within-subject treatment design. The within-subject treatment is variation of the “quota rule” and “unanimity rule”. Each match, half of the groups are randomly selected to be assigned to each. The between-subject treatment varies the value of V: in the “High V” treatment, V = 6000 while in the “Low V” treatment, V = 3000.
Experimental Design Details
Not available
Randomization Method
The experimental software will randomize automatically. Groups and types are re-randomized each match.
Randomization Unit
Groups and types are re-randomized each match.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Our final sample is expected to be 110-130 subjects.
Sample size: planned number of observations
The total number of observations cannot be pre-determined, because the number of rounds varies randomly in each match and the number of matches will depend on subject completion speed.
Sample size (or number of clusters) by treatment arms
We expect to have 55-65 subjects in each of the between-subject treatment arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
UQ BEL LNR Panel
IRB Approval Date
2026-04-08
IRB Approval Number
2026/HE010625
Analysis Plan

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