Expanding Common-Ratio and Common-Consequence Comparisons

Last registered on March 23, 2026

Pre-Trial

Trial Information

General Information

Title
Expanding Common-Ratio and Common-Consequence Comparisons
RCT ID
AEARCTR-0018163
Initial registration date
March 18, 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
March 23, 2026, 7:41 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
Caltech

Other Primary Investigator(s)

PI Affiliation
PI Affiliation

Additional Trial Information

Status
In development
Start date
2026-03-31
End date
2026-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The Common Ratio (CR) and Common Consequence (CC) problems have been extremely widely studied as examples of non-Expected Utility risk preferences. Blavatskyy et al. (2022, 2023) document a total of 224 experimental studies of these problems. Interestingly, other tests of EU's parallelism have not been systematically pursued. One notable shortcoming is that while CR and CC problems investigate the geometry of preferences in the lower right (southeast) portion of the probability simplex, there has not been commensurate interest in the upper left (northwest) portion of the simplex. Indeed, our investigation of the literature identified far fewer studies investigating that region of the simplex. The lack of exploration is critical because a range of behavioral decision theories predict specific forms of non-parallelism in the equivalent of CR and CC problems conducted on the upper left portion of the simplex, and sometimes predict distinct (or sometimes notably similar) patterns between upper left and lower right. Prominent examples include Prospect Theory (Kahneman and Tversky, 1979; Tversky and Kahneman, 1992) as well as other models of “fanning-out”, “fanning-in”, and “mixed-fanning” of indifference curves. The objective of this project is to provide an expanded exploration of the geometry of preferences throughout the probability simplex in order to provide a more complete foundation for assessing EU and non-EU theories.
External Link(s)

Registration Citation

Citation
Berman, Aaron, Ted O'Donoghue and Charles Sprenger. 2026. "Expanding Common-Ratio and Common-Consequence Comparisons." AEA RCT Registry. March 23. https://doi.org/10.1257/rct.18163-1.0
Experimental Details

Interventions

Intervention(s)
Subjects will provide valuations and choices over a range of lotteries covering the relevant parameter space for Common Ratio and Common Consequence problems in both the lower right portion of the Marschak-Machina probability simplex and the upper left portion of the simplex. Data will be used to develop tests of Expected Utility, which requires a specific geometry of preferences, parallel indifference curves, throughout the simplex.
Intervention Start Date
2026-03-31
Intervention End Date
2026-04-30

Primary Outcomes

Primary Outcomes (end points)
Choices and valuations for lotteries in both the upper and lower portion of the probability simplex at 25 balanced locations in parameter space.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Subjects will provide valuations and make choices over lotteries in both the upper and lower portion of the probability simplex at 25 balanced locations in parameter space.
Experimental Design Details
Not available
Randomization Method
Computer will determine specific question types and parameter values at random.
Randomization Unit
Individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
A total of 2,000 subjects will be recruited.
Sample size: planned number of observations
Each subject will provide 20 valuations and 20 choices making for a total of 2,000*20 = 40,000 valuations and 40,000 choices.
Sample size (or number of clusters) by treatment arms
Considering different locations of the parameter space and elicitation types as treatment arms, for each type of elicitation we will collect 200 observations at each of 25 locations in the space.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
2.5 dollar differences in valuations across locations (see analysis plan)
IRB

Institutional Review Boards (IRBs)

IRB Name
Caltech
IRB Approval Date
2023-03-17
IRB Approval Number
IR23-1289
Analysis Plan

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