Climate Attitudes, Mitigation Policy Acceptance, and Information in Groups and Networks (CAMPAIGN)

Last registered on February 18, 2026

Pre-Trial

Trial Information

General Information

Title
Climate Attitudes, Mitigation Policy Acceptance, and Information in Groups and Networks (CAMPAIGN)
RCT ID
AEARCTR-0017880
Initial registration date
February 12, 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
February 18, 2026, 6:35 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Georgia State University

Other Primary Investigator(s)

PI Affiliation
University of Padova
PI Affiliation
Bocconi University
PI Affiliation
University of Turin

Additional Trial Information

Status
In development
Start date
2026-02-12
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Biased, overly pessimistic beliefs represent an important obstacle to the adoption of cost-effective policy instruments, such as carbon taxes. With a large survey experiment, we investigate the effectiveness, on impact and over time, of information provision about the functioning of carbon taxes. We aim to simulate the potential of an actual information campaign, including interactions among peers about the content of the campaign. Such information campaigns are widely used in European countries. We focus on one of the few such countries without its own domestic carbon pricing scheme, Italy.
External Link(s)

Registration Citation

Citation
Carattini, Stefano et al. 2026. "Climate Attitudes, Mitigation Policy Acceptance, and Information in Groups and Networks (CAMPAIGN)." AEA RCT Registry. February 18. https://doi.org/10.1257/rct.17880-1.0
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Experimental Details

Interventions

Intervention(s)
The core design is a 2 × 2 between-subjects framework that randomizes participants along two dimensions: (i) whether they are exposed to a video explaining the functioning of carbon taxation, and (ii) whether a peer nominated by the participant is invited to take part in a separate survey in which they are exposed to the same informational video. The primary analysis centers on this 2 × 2 structure. However, to account for heterogeneity in content delivery, we extend the design to a 2 × 3 setup by distinguishing between two versions of the informational video – a standard format and a more interactive one, building on the example of more interactive information campaigns from the most recent times.
Intervention Start Date
2026-02-12
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
Understanding of and support for carbon taxes for original respondents (on impact and over time) and for peers, donation to one of three environmental organizations (donation and amount donated as outcome, not the choice of the environmental organization).
Primary Outcomes (explanation)
We consider an often unpopular policy that experts consider socially desirable, provide information about its functioning, and examine causally how providing information to peers (in isolation or in combination to information to the original respondents) influence opinions and support for such policy.

Secondary Outcomes

Secondary Outcomes (end points)
We examine several secondary outcomes aimed at capturing beliefs about the carbon tax and dividend’s environmental, competitiveness, and distributional effects, its impact on respondents’ own households, and perceptions of fairness.
Secondary Outcomes (explanation)
These secondary outcomes are of intrinsic interest for understanding how the treatments influence these beliefs, allowing for mediation analysis to explore the mechanisms through which the intervention may shape support for a carbon tax and dividend.

Experimental Design

Experimental Design
Our survey experiment is designed as follows. We first recruit our original respondents, who then may share contact information of a peer. This setting allows us to implement a 2 × 2 between-subject design, where we vary whether the original respondents are exposed to our informational video and whether the peer is invited to take part in a separate survey in which they are exposed to the same informational video. The informational video is provided in two versions, one of which includes a quiz to stimulate recipients to think carefully about the information received. In this way, we can also assess the impact of a more pedagogical, less passive approach to information campaigns. When doing so, we essentially implement a 2 × 3 between-subject design, where we additionally vary whether original respondents are shown the informational video in the standard passive version or in a more interactive one that quizzes the respondent through the watch. As outcomes, we measure understanding of and support for carbon taxes for original respondents, on impact as well as over time, and of peers, on impact.
Experimental Design Details
Not available
Randomization Method
Randomization done in the office by a professional survey company.
Randomization Unit
Randomization occurs at the level of the original respondent.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Please refer to the full pre-analysis plan available at https://osf.io/7jftx/overview for additional details.
Sample size: planned number of observations
Please refer to the full pre-analysis plan available at https://osf.io/7jftx/overview for additional details.
Sample size (or number of clusters) by treatment arms
Please refer to the full pre-analysis plan available at https://osf.io/7jftx/overview for additional details.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Please refer to the full pre-analysis plan available at https://osf.io/7jftx/overview for additional details.
IRB

Institutional Review Boards (IRBs)

IRB Name
Bocconi University
IRB Approval Date
2025-07-24
IRB Approval Number
EA000977