Incentivizing Data Sharing: Estimating the Supply Curve of Electricity Consumption Data

Last registered on November 26, 2025
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Pre-Trial

Trial Information

General Information

Title
Incentivizing Data Sharing: Estimating the Supply Curve of Electricity Consumption Data
RCT ID
AEARCTR-0017354
Initial registration date
November 25, 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
November 26, 2025, 7:17 AM EST

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

Locations

Country
Japan
Region

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
On going
Start date
2025-11-21
End date
2026-01-31
Keywords
Environment & Energy
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
High-frequency electricity consumption data help firms develop new innovative services and technologies and allow empirical researchers to ask important questions on human behaviors. However, the access to such data is limited due to consumers' privacy protection. The attitude toward privacy protection is likely to be diverse across consumers, and incentives for data sharing may enhance data sharing. This study investigates how monetary compensation affects consumer's decision on sharing their electricity consumption data with firms and researchers. We randomly assign incentives for data sharing to estimate the supply curve of electricity consumption data.
External Link(s)

Registration Citation

Citation
Honda, Tomonori, Takunori Ishihara and Hideki Shimada. 2025. "Incentivizing Data Sharing: Estimating the Supply Curve of Electricity Consumption Data." AEA RCT Registry. November 26. https://doi.org/10.1257/rct.17354-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
The interventions differ in additional bonus proposed to experimental subjects: (1) Control: No additional bonus; (2) Treatment 1: Additional bonus of 500 JPY ($3.3), (3) Treatment 2: Additional bonus of 1,000 JPY ($6.6); (4) Treatment 3: Additional bonus of 1,500 JPY ($10)
Intervention (Hidden)
Intervention Start Date
2025-11-21
Intervention End Date
2025-11-28

Primary Outcomes

Primary Outcomes (end points)
Whether consumers share their electricity consumption data
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will conduct a web-based survey experiment to estimate the supply curve of electricity consumption data. The survey experiment will be administered online through a web-based research company. At the beginning of the survey, monetary compensation differing across treatment groups will be proposed. Subsequently, we will ask whether experimental subjects are willing to share their data. 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 accept the offer. The research company will contact eligible households after the survey's completion.
Experimental Design Details
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
3,200 households
Sample size: planned number of observations
3,200 households
Sample size (or number of clusters) by treatment arms
800 households control, 800 households treatment 1, 800 households treatment 2, 800 households treatment 3
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Committee on Experimental Ethics, Inter-Graduate School Program for Sustainable Development and Survivable Societies, Kyoto University, Japan.
IRB Approval Date
2025-11-25
IRB Approval Number
202505
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