Electricity consumption and effect pricing – A large-scale field experiment in Norway
Last registered on January 03, 2020

Pre-Trial

Trial Information
General Information
Title
Electricity consumption and effect pricing – A large-scale field experiment in Norway
RCT ID
AEARCTR-0005209
Initial registration date
December 26, 2019
Last updated
January 03, 2020 5:11 PM EST
Location(s)

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Primary Investigator
Affiliation
The Ragnar Frisch Centre for Economic Research
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
2018-11-01
End date
2020-04-30
Secondary IDs
Abstract
This study evaluates the impact of interventions aimed at reducing residential electricity consumption during peak load days. The main intervention will increase the price of consuming electricity in the afternoon and early evening on 10 selected days in the period November 2019-April 2020. These days will be announced by text messages. The text messages will further ask participants to reduce consumption to try to reduce electricity consumption if possible. The group assigned to this intervention will be compared to an intervention group assigned to receiving similar information that a peak load day is upcoming, but that will face no price changes, and a control group. Starting from peak load day 4, a subset of customers in the two intervention groups will also receive information about their consumption relative to their neighbors on peak load days.
External Link(s)
Registration Citation
Citation
Hernæs, Øystein. 2020. "Electricity consumption and effect pricing – A large-scale field experiment in Norway." AEA RCT Registry. January 03. https://doi.org/10.1257/rct.5209-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-12-01
Intervention End Date
2020-04-30
Primary Outcomes
Primary Outcomes (end points)
Log of hourly electricity consumption in and outside of the treatment window (16-22).
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Residential electricity customers are randomly assigned to one of three groups. We will call these the price, information or control group, respectively.
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
Electricity meter (one per household)
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
11712
Sample size: planned number of observations
11712
Sample size (or number of clusters) by treatment arms
11712 / 3
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
From simulations based on data from the winter of 2018, we estimate that we will have a minimum detectable effect size of -0.017% at the 5% significance level with 80% power. This is only taking into account one treatment. kWh per hour. sd 1.4..
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number