Revealed-preference study of the impact of narratives and conceptual frames: evidence from a negative externality laboratory experiment

Last registered on April 12, 2022

Pre-Trial

Trial Information

General Information

Title
Revealed-preference study of the impact of narratives and conceptual frames: evidence from a negative externality laboratory experiment
RCT ID
AEARCTR-0009063
Initial registration date
April 09, 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
April 12, 2022, 8:17 AM EDT

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

Locations

Primary Investigator

Affiliation
Bates College

Other Primary Investigator(s)

PI Affiliation
Santa Clara University

Additional Trial Information

Status
In development
Start date
2022-04-09
End date
2022-08-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Our proposed work builds from Bartling, Weber, and Yao (2015) by using an RCT to examine choices in a laboratory market in which we vary the way a negative externality associated with a transaction is characterized. Like Bartling et al. (2015), we use a fictious product in a laboratory setting with real stakes and real impacts on a bystander. In the experiment by Bartling et al. (2015), consumers can choose between a socially responsible product and a product that produces a negative externality for a bystander. The authors find that people are willing to forgo personal benefit to choose a socially responsible product. Our protocol differs from Bartling et al. (2015) in some important ways. First, instead of choosing which of two products to sell, the seller can choose to sell a product that has an external cost for a bystander, or they can refuse to produce a good for sale. Similarly, buyers can choose to purchase the externality-producing good or refrain from making a purchase. This design simulates a context in which there is no socially responsible substitute on the market. Experimental conditions in the study vary the conceptual frame of the negative externality. We examine whether subjects’ willingness to sell and buy this “unfair” product is impacted by the conceptual frame.
External Link(s)

Registration Citation

Citation
Goff, Sandra and John Ifcher. 2022. "Revealed-preference study of the impact of narratives and conceptual frames: evidence from a negative externality laboratory experiment." AEA RCT Registry. April 12. https://doi.org/10.1257/rct.9063-1.0
Experimental Details

Interventions

Intervention(s)
Experimental conditions in the study vary the conceptual frame of the negative externality. We examine whether subjects’ willingness to sell and buy this “unfair” product is impacted by the conceptual frame.
Intervention Start Date
2022-04-09
Intervention End Date
2022-08-31

Primary Outcomes

Primary Outcomes (end points)
sell: dummy variable = 1 if seller decides to offer a product for sale
buy: dummy variable = 1 if buyer decides to purchase a product
price: price at which product was purchased
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants will engage in a laboratory market game with real stakes for themselves and a bystander. Sessions are randomly assigned to one of three experimental conditions - a control and two treatments. In the two treatments, the framing of the negative externality produced by the players is altered.
Experimental Design Details
See analysis plan.
Randomization Method
Assignment of conditions to sessions is done non-randomly to ensure even spread across days/times; participants sign up for days/times according to their schedule preferences; payment round is determined randomly by the computer
Randomization Unit
experimental sessions
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
approximately 18 - will depend upon group size and interest at recruitment
Sample size: planned number of observations
As many as can be recruited - up to 600 students.
Sample size (or number of clusters) by treatment arms
Approximately 200 depending upon scheduling. If sessions get out of balance due to cancellations, etc., we will err on the side of oversampling experimental sessions.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Assuming an alpha of 0.01, power of 0.80, a minimum effect size of 0.15 and approximately four predictors, we expect to need approximately 120 participants in our buyer analysis (online a priori sample size calculator for multiple regression: https://www.danielsoper.com/statcalc/calculator.aspx). This would require a sample size of approximately 500 participants due to the study design. We plan to attempt to recruit up to approximately 600 participants overall.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Santa Clara University
IRB Approval Date
2020-03-09
IRB Approval Number
20-02-1424
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