Non-monetary approaches to increase energy use efficiency

Last registered on January 21, 2021


Trial Information

General Information

Non-monetary approaches to increase energy use efficiency
Initial registration date
January 21, 2021

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
January 21, 2021, 3:15 PM EST

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



Primary Investigator

Vilnius University

Other Primary Investigator(s)

Additional Trial Information

In development
Start date
End date
Secondary IDs
The overarching goal of this project is to bring the discussion on inefficiencies in residential energy use from theory to practical application using innovative technical methods (such as designing and developing a mobile application for our experiment purposes) and insights from behavioral economics. In the project, we will investigate inefficiencies in household energy use due to various behavioral issues, focusing on lack of relevant information about energy use. We will implement field experiments, which will help us answer the question of how provision of various information (for example, notifications about peak electricity prices or social comparisons) affect energy use among households.
External Link(s)

Registration Citation

Kazukauskas, Andrius. 2021. "Non-monetary approaches to increase energy use efficiency." AEA RCT Registry. January 21.
Sponsors & Partners

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Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Household level electricity consumption for each hour
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The field experiment will include about 1000 households, which will sign up for installing our mobile app. All participating subjects (households) are equipped with smart electricity readers. The participating households will be observed for 12 months after the start of treatment. The sampled households that agree installing our application will receive a small value presents. The participating households will have a possibility to opt out from experiment by deleting the app from their phones and their accounts. We will randomly select households to access different versions of our app. These versions contain more or less information about the hourly electricity consumption of participating households.
Experimental Design Details
Randomization Method
A simple randomization will be done in office. The control and treatment groups will be divided in equal proportions.
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
1000 households
Sample size: planned number of observations
1000 households
Sample size (or number of clusters) by treatment arms
1000 households
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
The Gettysburg College Institutional Review Board
IRB Approval Date
IRB Approval Number


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Data Collection Complete
Data Publication

Data Publication

Is public data available?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials