Cognition, Complexity, and Choice

Last registered on July 26, 2022

Pre-Trial

Trial Information

General Information

Title
Cognition, Complexity, and Choice
RCT ID
AEARCTR-0009790
Initial registration date
July 22, 2022

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
July 26, 2022, 1:34 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Massachusetts Institute of Technology

Other Primary Investigator(s)

PI Affiliation
Massachusetts Institute of Technology

Additional Trial Information

Status
In development
Start date
2022-07-22
End date
2023-02-28
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We propose a lab experiment to explore cognitive mechanisms that could generate non-canonical behavior in choice under risk.
External Link(s)

Registration Citation

Citation
Puri, Indira and Advik Shreekumar. 2022. "Cognition, Complexity, and Choice ." AEA RCT Registry. July 26. https://doi.org/10.1257/rct.9790
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-07-22
Intervention End Date
2022-08-05

Primary Outcomes

Primary Outcomes (end points)
Certainty equivalents over lotteries.
Primary Outcomes (explanation)
Please see Analysis Plan for details.

Secondary Outcomes

Secondary Outcomes (end points)
Please see Analysis Plan for details.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants will report their certainty equivalents to a series of lotteries. In a control arm, participants will see lotteries as they are commonly presented in the experimental literature. Participants in each of seven treatment arms will see the same lotteries as the control arm, presented in a way that interacts with potentially relevant cognitive channels.
Experimental Design Details
Not available
Randomization Method
Randomization in-survey by computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1,000 respondents.
Sample size: planned number of observations
1,000 respondents.
Sample size (or number of clusters) by treatment arms
125 respondents per treatment arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
MIT Committee for the Use of Humans as Experimental Subjects
IRB Approval Date
2022-07-19
IRB Approval Number
E-4212
Analysis Plan

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