The Political Economy of Congestion Pricing: Experimental Evidence

Last registered on April 16, 2024


Trial Information

General Information

The Political Economy of Congestion Pricing: Experimental Evidence
Initial registration date
April 11, 2024

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 16, 2024, 2:49 PM EDT

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


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Primary Investigator

Columbia University

Other Primary Investigator(s)

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
This project will study voter opinion on congestion pricing using an information intervention combined with a policy introduction. Respondents in the region of a proposed congestion price will be asked their opinions on the policy before the policy is introduced. This pre-policy survey will include an information intervention; treated respondents will receive information related to congestion pricing, and the study will test the effect of this information on their likelihood of supporting the policy. After congestion pricing is introduced, respondents will be surveyed again to see how opinions change.
External Link(s)

Registration Citation

Yang, Natalie. 2024. "The Political Economy of Congestion Pricing: Experimental Evidence." AEA RCT Registry. April 16.
Experimental Details


Information interventions, where the information treatments will be information about the predicted effects of the congestion pricing policy.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Voter opinion on congestion pricing (support, assessment of fairness); voter predictions for effect of congestion pricing on transportation (effect on traffic, pollution, transit ridership); commuting mode choice, commute times
Primary Outcomes (explanation)
Voter opinion (e.g., fairness, support) will be measured on a Likert scale

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
There will be 1,500 respondents included in the pre-policy survey. The same 1,500 respondents will be re-surveyed in the post-policy survey, along with 500 additional respondents. Respondents will be selected among the pool of YouGov registrants who reside in the New York metro area. Respondents will be randomly sorted into treatment and control groups for the intervention.
Experimental Design Details
Not available
Randomization Method
Randomization done by YouGov computer
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
Sample size: planned number of observations
2,000 individuals total (1,500 in both pre- and post-policy surveys + 500 additional in post-policy only)
Sample size (or number of clusters) by treatment arms
Pre-policy: 375 in each of 3 treatment groups, 375 in control group
Post-policy: 500 in each of 3 treatment groups, 500 in control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
Columbia Research, Human Research Protection Office
IRB Approval Date
IRB Approval Number