A field experiment on energy conservation with manipulation

Last registered on August 15, 2025

Pre-Trial

Trial Information

General Information

Title
A field experiment on energy conservation with manipulation
RCT ID
AEARCTR-0016404
Initial registration date
July 24, 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
July 28, 2025, 9:14 AM EDT

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

Last updated
August 15, 2025, 9:07 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Kyoto University of Advanced Science

Other Primary Investigator(s)

PI Affiliation
Kyoto University
PI Affiliation
The University of Osaka
PI Affiliation
Otaru University of Commerce

Additional Trial Information

Status
In development
Start date
2025-07-25
End date
2026-03-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This study implements an experimental design in which the probability of future treatments depends on each household’s past energy-saving performance. It aims to investigate how the optimal allocation of treatments changes depending on whether future assignments are predictable or not. In addition, the study seeks to design allocation rules that maximize social welfare while accounting for consumers’ endogenous behavioral responses. To this end, field experiments and surveys involving energy-saving events will be conducted during both the summer and winter of 2025.
External Link(s)

Registration Citation

Citation
Ida, Takanori et al. 2025. "A field experiment on energy conservation with manipulation." AEA RCT Registry. August 15. https://doi.org/10.1257/rct.16404-2.0
Experimental Details

Interventions

Intervention(s)
As a treatment measure, the study introduces a rebate (monetary incentive) based on electricity savings during peak hours (5:00 PM to 9:00 PM). The baseline for calculating the rebate is each household’s average electricity consumption during the same month of the previous year (August and December, respectively). The event periods are set to seven days in both summer (August 18–24) and winter (December 15–21).

If a household’s electricity consumption during the event period falls below the baseline, a reward of 200 yen per kilowatt-hour saved will be provided, up to a maximum of 3,500 yen. If the average consumption during the event period exceeds the baseline, the household will be treated as having achieved zero savings and will not receive any reward.
Intervention Start Date
2025-08-18
Intervention End Date
2025-12-21

Primary Outcomes

Primary Outcomes (end points)
electricity consumption
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
A total of 2,500 households, randomly selected from across Japan, will be divided into the following 10 groups to participate in a two-period (summer and winter) treatment experiment.

[1] Groups with Fixed Treatment Assignments (Groups 1–4)
Treatment status in each period is predetermined and does not depend on household behavior:

Group Period 1 (Summer) Period 2 (Winter)
UU No treatment No treatment
UT No treatment Treatment
TU Treatment No treatment
TT Treatment Treatment

[2] Groups with Behavior-Contingent Treatment Assignments (Groups 5–10)
Households receive treatment in the second period only if their electricity-saving rate in the first period exceeds a specified target (10%, 30%, or 50%):

Group Period 1 Treatment Savings Target Period 2 Treatment
U(C=10%) No 10% Conditional
U(C=30%) No 30% Conditional
U(C=50%) No 50% Conditional
T(C=10%) Yes 10% Conditional
T(C=30%) Yes 30% Conditional
T(C=50%) Yes 50% Conditional

Information about treatment assignment and baseline electricity usage will be communicated to each household via email or other means at the beginning of each event month and again during the event period.
Experimental Design Details
Not available
Randomization Method
Stratified randomization done in office by a computer (Households will be clustered by dividing their past summer and winter electricity consumption based on the median, classifying them into groups with consumption above or below the median for each season)
Randomization Unit
households
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
2,500 households (expected)
Sample size (or number of clusters) by treatment arms
250 households (expected)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We determined that 10 groups, as described above, were necessary to achieve the objectives of this experiment. We then considered the number of households we could realistically recruit in the field and decided to assign 250 households to each group. Our power calculation indicated that, with 250 households per group, detecting a statistically significant treatment effect at the 5% level would require at least a 7.5% reduction in electricity consumption. In our previous study (Ida et al., 2023), we offered a rebate of 100 Japanese Yen per kWh and observed an average reduction in electricity usage of 5%. Since a 100 Yen rebate was unlikely to produce a reduction of 7.5% or more, we decided to increase the rebate to 200 Yen per kWh in order to reach the target effect size. Ida, T., Ishihara, T., Ito, K., Kido, D., Kitagawa, T., Sakaguchi, S., & Sasaki, S. (2024). Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs. (No. w30469). National Bureau of Economic Research.
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
2025-06-21
IRB Approval Number
202503
Analysis Plan

Analysis Plan Documents

The Pre-Analysis Plan for “A field experiment on energy conservation with manipulation”

MD5: 465bb98519d41eaa92596b21bb185d9d

SHA1: a6d048948debfce6d6abfb11acae811135da9d07

Uploaded At: August 15, 2025