Prediction-Market Information and Voter Behavior

Last registered on October 16, 2026

Pre-Trial

Trial Information

General Information

Title
Prediction-Market Information and Voter Behavior
RCT ID
AEARCTR-0019931
Initial registration date
October 09, 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
October 16, 2026, 2:18 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

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2026-10-09
End date
2026-11-20
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This randomized online study examines how prediction-market odds and polling information affect voters’ candidate preferences, intended political behaviour, and electoral beliefs. Eligible adults residing in several US States including Michigan, Ohio, Georgia, North Carolina, and Texas who intend to vote in the relevant 2026 U.S. Senate election will participate. Participants will be randomly assigned within each state to three arms providing either no information, odds from prediction market, or information from polls. The primary outcomes are candidate preference, turnout intention, and intended donations to the preferred candidate’s campaign. Secondary measures include perceived winning probabilities, expected margins of victory and weekly news sources.
External Link(s)

Registration Citation

Citation
Foroughifar, Mohsen. 2026. "Prediction-Market Information and Voter Behavior." AEA RCT Registry. October 16. https://doi.org/10.1257/rct.19931-1.0
Experimental Details

Interventions

Intervention(s)
This study has two interventions and one control condition. The Odds condition provides participants with current prediction market odds for the relevant 2026 U.S. Senate election and a brief explanation of these odds. The Polls condition provides the candidates’ polling averages from the Average row of the Aggregate polls table on the relevant Wikipedia election page, with a source link. Participants receive a brief explanation. The Control condition provides neither prediction-market odds nor polling information.
Intervention Start Date
2026-10-09
Intervention End Date
2026-11-20

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes are (i) candidate preference; (ii) turnout intention; and (iii) intended donation to the preferred candidate’s campaign.
Primary Outcomes (explanation)
The secondary outcomes are (i) the perceived win probability of candidates; (ii) the expected margin of victory; and (iii) self-reported news sources used.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study uses a multiple-wave, between-subject, three-arm randomized online survey design. Participants are recruited through online research platforms and first complete a brief screening survey. Eligibility requires participants to be at least 18 years old, reside in Michigan, Ohio, Georgia, North Carolina, or Texas, intend to vote in the relevant 2026 U.S. Senate election, and report that they are still undecided about who to vote.
Eligible participants are randomly assigned within each state to Control, Odds, or. Participants remain in the same condition throughout all survey waves.
In Wave 1, all participants first report candidate preference, winning probabilities, expected victory margins, turnout intention, intended donations, and news sources. The Odds group then sees Polymarket odds, while the Polls group sees polling averages. Both information groups then repeat the belief, preference, and intended-behaviour measures. Control participants complete only the baseline measures in Wave 1.
In Waves 2 through 4, participants remain in their assigned condition. The Odds and Polls groups receive updated odds and polling averages, respectively. All participants complete the belief, preference, and intended-behaviour measures and report their news sources. The displayed information and its source are recorded for each wave. Wave 4 ends with an optional question asking participants to explain any change in candidate preference over the past month.
Participants receive base compensation for each completed survey. Those who complete all four waves are eligible for a study bonus. One bonus-eligible belief response is randomly selected for each eligible participant. A 50/50 random draw selects either the $5 belief-based bonus based on Binarized Scoring Rule method or a drawing with a 0.5% chance of winning $500. Payment follows the rules presented with the selected question.
Experimental Design Details
Not available
Randomization Method
Computer-based
Randomization Unit
Subjects within each US state (strata) are randomly assigned to the three conditions.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable. Treatment is assigned at the individual-participant level and is not clustered.
Sample size: planned number of observations
The study targets at least 1000 participants completing all waves of the study.
Sample size (or number of clusters) by treatment arms
The following sample sizes are planned. However, the final sample sizes may differ depending on attrition and logistical/technical constraints that may arise.

Control: at least 300 participants.
Odds: at least 500 participants.
Polls: at least 200 participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Carnegie Mellon University Institutional Review Board
IRB Approval Date
2026-09-21
IRB Approval Number
STUDY2026_00000395