Mass Support for Dynamic Climate Policy

Last registered on April 06, 2019

Pre-Trial

Trial Information

General Information

Title
Mass Support for Dynamic Climate Policy
RCT ID
AEARCTR-0004090
Initial registration date
April 04, 2019

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 06, 2019, 3:07 PM EDT

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

Locations

Region
Region

Primary Investigator

Affiliation
Stanford Univeristy

Other Primary Investigator(s)

PI Affiliation
Washington University in St. Louis
PI Affiliation
Stanford University

Additional Trial Information

Status
On going
Start date
2019-03-27
End date
2019-07-31
Secondary IDs
Abstract
This study investigates the determinants of support for dynamic climate policy. We examine the role of personal characteristics such as time and risk preferences and of policy characteristics such as the distribution of costs and international cooperation. This is done through a series of survey experiments embedded in surveys of a representative sample of the population in the United Kingdom, France, and Germany.
External Link(s)

Registration Citation

Citation
Bechtel, Michael, Kenneth Scheve and Elisabeth van Lieshout. 2019. "Mass Support for Dynamic Climate Policy." AEA RCT Registry. April 06. https://doi.org/10.1257/rct.4090-1.0
Former Citation
Bechtel, Michael, Kenneth Scheve and Elisabeth van Lieshout. 2019. "Mass Support for Dynamic Climate Policy." AEA RCT Registry. April 06. https://www.socialscienceregistry.org/trials/4090/history/44687
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2019-03-27
Intervention End Date
2019-04-19

Primary Outcomes

Primary Outcomes (end points)
Expressed support for various policy proposals related to addressing climate change
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Survey respondents are presented with a series of questions on possible policies to address climate change. Certain aspects of the information provided about the policies are randomly varied. Full details on the questions, randomizations, and planned analyses are contained in the survey instrument and analysis plan.
Experimental Design Details
Randomization Method
Survey software implements the randomization.
Randomization Unit
All randomizations are at the individual level and randomization for separate questions is done independently.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
5400 respondents
Sample size: planned number of observations
5400 respondents
Sample size (or number of clusters) by treatment arms
Equal split across different arms. Some randomizations have two arms (treatment and control), others have more (multiple 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
Research Compliance Office Stanford University
IRB Approval Date
2018-12-21
IRB Approval Number
46325
IRB Name
Washington University in St. Louis’s Institutional Review Board
IRB Approval Date
2018-04-12
IRB Approval Number
201803178
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