Eliciting thresholds for collective behavior

Last registered on March 30, 2023
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Pre-Trial

Trial Information

General Information

Title
Eliciting thresholds for collective behavior
RCT ID
AEARCTR-0010895
Initial registration date
March 03, 2023

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 30, 2023, 2:54 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

Name
Moritz Janas
Affiliation
NYU Abu Dhabi
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Other Primary Investigator(s)

PI Name
Simon Siegenthaler
PI Affiliation
University of Texas at Dallas
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PI Name
Nikos Nikiforakis
PI Affiliation
NYU Abu Dhabi
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Additional Trial Information

Status
In development
Start date
2023-03-06
End date
2023-12-31
Keywords
Behavior
Additional Keywords
JEL code(s)
C81, D7
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We run an incentivized representative survey in the US. In the survey we elicit individual thresholds for switching from one decision to another decision. Eliciting covariates on attitudes and personality traits allows us to test and estimate our model to predict individual thresholds.
External Link(s)

Registration Citation

Citation
Janas, Moritz, Nikos Nikiforakis and Simon Siegenthaler. 2023. "Eliciting thresholds for collective behavior." AEA RCT Registry. March 30. https://doi.org/10.1257/rct.10895-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-03-07
Intervention End Date
2023-03-08

Primary Outcomes

Primary Outcomes (end points)
The thresholds participants report. Participants enter two thresholds, one broad one and one for a more narrow reference group.
Primary Outcomes (explanation)
we do not have to construct this variable, we directly elicit it.

Secondary Outcomes

Secondary Outcomes (end points)
we elicit many covariates. The hypothesis section of this preregistration document lists them one by one.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
see Experimental Design (Hidden) for details on the experimental design.
Experimental Design Details
Not available
Randomization Method
The computer randomizes the participants into the different treatments.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4000 individuals in the U.S.. Sample is stratified: 500 observations for each of the 8 groups (male, female) X (asian,black,hispanic,white).
Sample size: planned number of observations
4000
Sample size (or number of clusters) by treatment arms
500 individuals in each of the eight groups. Male Asian; Female Asian; Male Black; Female Black; Male Hispanic; Female Hispanic; Male White; Female White.
Individuals in each group are U.S. representative for each of the groups on the following dimensions: Age, Region in U.S., Education. 50% of participants are in the DefaultPro treatment, the other 50% in the DefaultAnti treatment. 80% are in the Public treatment, 20% in the Private treatment. 33% are in each of the three reference group treatments.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
NYUAD Institutional Review Board
IRB Approval Date
2023-03-28
IRB Approval Number
HRPP-2022-74
Analysis Plan

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