Information Persistence and Preference Updating from Survey Feedback: Evidence from a Two-Wave Discrete Choice Experiment on Utility-Scale Solar Energy

Last registered on June 30, 2025

Pre-Trial

Trial Information

General Information

Title
Information Persistence and Preference Updating from Survey Feedback: Evidence from a Two-Wave Discrete Choice Experiment on Utility-Scale Solar Energy
RCT ID
AEARCTR-0015624
Initial registration date
June 27, 2025

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
June 30, 2025, 6:07 AM EDT

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

Locations

Primary Investigator

Affiliation
Iowa State University

Other Primary Investigator(s)

PI Affiliation
Iowa State University
PI Affiliation
Michigan State University

Additional Trial Information

Status
On going
Start date
2024-06-14
End date
2026-01-01
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Despite the rapidly growing deployment of renewable energy technologies, public acceptance remains a critical factor affecting implementation. Understanding how information provision shapes preferences—and particularly how individuals process and update their preferences given a time window and when presented with reminder information—is crucial for effective public policy design. Our research addresses this gap by examining information persistence and preference updating within a policy-relevant context of utility-scale solar deployment. Using a two-round survey design with embedded information treatments and discrete choice experiments (DCEs), we examine both the lasting effects of previously provided information and how preference updating occurs when new information based on the first-round outcomes becomes available. We also investigate the effectiveness of information feedback in improving willingness-to-pay (WTP) estimates and preference consistency and persistency. This research contributes to both the public policy and decision-making literature by: (1) examining the temporal stability of information effects on preferences for environmental goods; (2) exploring whether prior information creates anchoring effects that persist over time, with implications for the timing and sequencing of public communications; (3) comparing the relative influence of two types of personalized feedback information on preference formation, which can guide the design of more effective public engagement strategies; (4) assessing the effectiveness of different information delivery mechanisms within discrete choice experiments, providing methodological insights for policy preference elicitation; and (5) offering practical insights for survey and DCE design to enhance welfare estimation. The findings will offer practical guidance for policymakers on optimizing information provision strategies to support more informed public discourse and decision-making around infrastructure and policy implementation, and will inform best practices for improving WTP accuracy in environmental valuation and beyond.
External Link(s)

Registration Citation

Citation
Caputo, Vincenzina, Jian Chen and Hongli Feng. 2025. "Information Persistence and Preference Updating from Survey Feedback: Evidence from a Two-Wave Discrete Choice Experiment on Utility-Scale Solar Energy." AEA RCT Registry. June 30. https://doi.org/10.1257/rct.15624-1.0
Experimental Details

Interventions

Intervention(s)

Intervention (Hidden)
We investigate the persistence of information treatment and the effects of updated information on individual preferences through two waves of surveys incorporating an information treatment experiment and a discrete choice experiment.

In wave 1, the information treatment experiment is designed with an emphasis on different framing of information concerning the localized impacts of utility-scale solar energy systems: the control group receives no information, one category focuses on peer information regarding peer counties' adoption of zoning regulations regarding utility-scale solar energy systems, and the remaining categories offer information highlighting either positive or negative local community impacts of utility-scale solar energy systems.

The choice experiment features 4 attributes, each with three to four levels. The four attributes are expected carbon emissions reduction relative to coal-fired power plants, expected annual lease payment to landowners, expected savings on the monthly electricity bill for your household, and land quality of the occupied farmland. Participants will be presented with six choice scenarios. In each scenario, we present three potential plans, including a "no solar project" option, and the participants are asked to report which plan they were more likely to support in their community.

In wave 2, participants who completed the first-round survey will first receive a short confirmation survey regarding their willingness to participate in the follow-up survey and the affecting factors. Those who indicate willingness to participate will be randomly assigned to three groups: a control group receiving no additional information, a first treatment group receiving individualized WTP reminders based on their own first-round DCE responses, and a second treatment group receiving individualized WTP reminders calculated from all first-round DCE responses as well as their first-round DCE choices. The DCE scenarios in wave 2 will maintain the same design as those in the first round.
Intervention Start Date
2024-06-14
Intervention End Date
2026-01-01

Primary Outcomes

Primary Outcomes (end points)
Preferences (degree of support) for utility-scale solar projects and land use regulations; choices of proposed utility-scale solar projects
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We implement our experiments in two waves of surveys (June 2024 to May 2025).

Wave 1 was carried out between June and July of 2024 and was administrated by a third-party survey company, Dynata, according to the demographic distribution of populations in our study regions. We randomized respondents into different treatment groups as follows:
Control group: N=774
Treatment group 1 (peer information): N=768
Treatment group 2 (positive information): N=762
Treatment group 3 (negative information): N=766

In wave 2, we will randomize respondents into different treatment groups as follows:
Control group
Treatment group 1 (individual reminder information)
Treatment group 2 (sample reminder information)

The second wave of the survey will be administered by Dynata.
Experimental Design Details
Randomization Method
Randomization of information treatment versions and choice experiment blocks by Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Wave 1: 3102
Wave 2: 1500 (target)
Sample size: planned number of observations
Wave 1: 3102 Wave 2: 1500 (target)
Sample size (or number of clusters) by treatment arms
Wave 1:
Control group: N=774
Treatment group 1 (peer information): N=768
Treatment group 2 (positive information): N=762
Treatment group 3 (negative information): N=766

Wave 2:
Control group: N=500 (target)
Treatment group 1 (individual reminder information): N=500 (target)
Treatment group 2 (sample reminder information): N=500 (target)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Iowa State University Institutional Review Board
IRB Approval Date
2025-02-07
IRB Approval Number
22-306

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

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