Consumers' Willingness to Accept to Share Electricity Consumption Data

Last registered on January 07, 2025
View Trial History

Pre-Trial

Trial Information

General Information

Title
Consumers' Willingness to Accept to Share Electricity Consumption Data
RCT ID
AEARCTR-0014916
Initial registration date
November 28, 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
December 03, 2024, 1:36 PM EST

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

Last updated
January 07, 2025, 9:46 PM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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

Request Information

Primary Investigator

Name
Hideki Shimada
Affiliation
National Institute of Advanced Industrial Science and Technology
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Takunori Ishihara
PI Affiliation
Kyoto University of Advanced Science
PI Name
Tomonori Honda
PI Affiliation
National Institute of Advanced Industrial Science and Technology

Additional Trial Information

Status
In development
Start date
2024-12-13
End date
2025-02-28
Keywords
Environment & Energy
Additional Keywords
smart meter, information provision, privacy concerns, risk preferences, selection
JEL code(s)
Q41
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study quantifies the value consumers require to share their electricity consumption data with firms and researchers for business and research purposes. Using a randomized controlled trial, we examine how this value responds to information about the potential benefits and costs of data sharing, as well as to consumer characteristics, including average electricity consumption.
External Link(s)

Registration Citation

Citation
Shimada, Hideki, Tomonori Honda and Takunori Ishihara. 2025. "Consumers' Willingness to Accept to Share Electricity Consumption Data." AEA RCT Registry. January 07. https://doi.org/10.1257/rct.14916-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
The interventions differ in information provided to survey respondents: (1) Control: basic information on how electricity consumption data is recorded by smart meters; (2) Treatment 1: additional information on private benefits of sharing electricity consumption data, (3) Treatment 2: additional information on social benefits of sharing electricity consumption data; (4) Treatment 3: additional information on countermeasures against data breaches
Intervention Start Date
2024-12-13
Intervention End Date
2024-12-23

Primary Outcomes

Primary Outcomes (end points)
Whether consumers share their electricity consumption data, whether consumers share their electricity consumption data for free, and consumers’ willingness to accept for data sharing
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will conduct a web-based survey to elicit households' willingness to accept (WTA) compensation for sharing their past electricity consumption data. The survey will be administered online through a web-based research company. At the beginning of the survey, information differing across treatment groups will be provided. Subsequently, we will elicit households' WTA using the Becker-DeGroot-Marschak (BDM) mechanism in real transactions. The survey will also include questions about household attributes, such as income, gender, age, and risk preferences.

We will collect past electricity consumption data from households that meet the conditions specified under the BDM mechanism. The research company will contact eligible households after the survey's completion. To encourage participation, households will receive randomly determined incentives for providing their electricity data.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Household
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
6,000 households
Sample size: planned number of observations
6,000 households
Sample size (or number of clusters) by treatment arms
1,500 households control, 1,500 households treatment 1 (private benefits), 1,500 households treatment 2 (social benefits), 1,500 households treatment 3 (countermeasures against data breaches)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
AIST ergonomic experiment committee
IRB Approval Date
2024-02-08
IRB Approval Number
HF2023-1415
Analysis Plan

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

Request Information