Fair (P)redistribution

Last registered on October 31, 2025

Pre-Trial

Trial Information

General Information

Title
Fair (P)redistribution
RCT ID
AEARCTR-0017133
Initial registration date
October 29, 2025

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
October 31, 2025, 8:41 AM EDT

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

Locations

Region
Region

Primary Investigator

Affiliation
Norwegian School of Economics (NHH)

Other Primary Investigator(s)

PI Affiliation
University of St. Gallen
PI Affiliation
UniDistance

Additional Trial Information

Status
In development
Start date
2025-10-29
End date
2025-11-10
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We elicit fairness preferences using a spectator design, and adapt their design to measure preferences for predistribution relative to redistribution. In the experiment, participants in the role of ``spectators'' determine the incomes of participants in the role of ``workers,'' who earned these incomes from a real-effort task. We focus on two important dimensions that vary between predistribution and redistribution: the timing of the spectator's decision relative to the accrual of worker earnings---before incomes are accrued (ex-ante) vs. after (ex-post)---and the context of changing earnings relative to changing a base payment to both workers. Additionally, using open-ended and closed-ended questions, we will elicit the spectators' explanations for their implemented inequality, their preferred timing between ex-ante and ex-post, and their support for government predistribution and redistribution policies.
External Link(s)

Registration Citation

Citation
Srinivasan, Krishna, Justin Valasek and Weijia Wang. 2025. "Fair (P)redistribution." AEA RCT Registry. October 31. https://doi.org/10.1257/rct.17133-1.0
Experimental Details

Interventions

Intervention(s)
In the experiment, participants in the role of ``spectators'' determine the incomes of participants in the role of ``workers,'' who earned these incomes from a real-effort task. We focus on two important dimensions that vary between predistribution and redistribution: the timing of the spectator's decision relative to the accrual of worker earnings---before incomes are accrued (ex-ante) vs. after (ex-post)---and the context of changing earnings relative to changing a base payment to both workers.

Intervention (Hidden)
Intervention Start Date
2025-10-29
Intervention End Date
2025-11-08

Primary Outcomes

Primary Outcomes (end points)
The level of inequality implemented by spectators in our three treatments.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Preferred timing between ex-ante and ex-post, and support for government predistribution and redistribution policies.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We compare spectator choices for three treatments:
(1) Redistribution: Spectator decision made ex post.
(2) Predistribution: Spectator decision made ex ante.
(3) Predistribution + Context: Spectator decision made ex ante with different framing.
Experimental Design Details
The spectators make incentivized choices that have real consequences for two workers, but not for themselves. They also answer a set of attitude questions and a standard set of background questions. We now explain each part in detail.
Our main goal is to elicit spectators' fairness perceptions regarding predistribution and redistribution. Each spectator is randomly assigned to one of the three treatments that vary the timing of the spectators' decisions and the context across spectators.

Treatment: Redistribution
In the benchmark condition, each worker is given a baseline payment of 2 USD. After they have completed the assignment, the workers will be informed that the more productive worker earned an additional 6 USD payment for the assignment, while the other worker did not earn any additional payment, but that a third person could redistribute the additional earnings. The spectators will choose, after the workers have completed the task, whether they want to keep this payment plan or change their payments to any other payment plan from the set: $\mathbf{P} \equiv \{(6,0), (5,1), (4,2), (3,3)\}$. The spectators are explicitly informed that the workers will not be informed about the payment plan prior to completing the task.


Treatment: Predistribution
In the ``Predistribution'' treatment, the spectators will choose a payment plan before the workers complete the task. That is, the spectators will choose whether they want to keep the payment plan of an additional 6 USD for the most productive worker, or change their payments to any other payment plan from the set: $\mathbf{P} \equiv \{(6,0), (5,1), (4,2), (3,3)\}$. However, this decision is taken before the workers complete the task. As in the Redistribution treatment, spectators in the Predistribution treatment are told that the workers will not be informed about the payment plan prior to completing the task.

Treatment: Predistribution + Context
In the ``Pre + Context'' treatment, the spectators will choose a payment plan before the workers complete the task as in the Predistribution. However, the choice is framed as a choice of distributing earnings between a ``base payment'' and a ``top-up payment to the most productive worker.''
Randomization Method
Randomization of spectators into treatments and randomized matching of spectators to workers done in office by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1,250 US spectators and 1,250 Swedish spectators (2,500 total).
Sample size: planned number of observations
2,500 total.
Sample size (or number of clusters) by treatment arms
1,000 Redistribution
1,000 Predistribution
500 Predistribution + Context
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
NHH IRB
IRB Approval Date
2025-10-15
IRB Approval Number
NHH-IRB-2025-127
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials