Behavioral and Economic Impacts of Time-of-Use Tariff in Brazil: Evidence from a Randomized Controlled Trial in the Equatorial Group

Last registered on October 23, 2025

Pre-Trial

Trial Information

General Information

Title
Behavioral and Economic Impacts of Time-of-Use Tariff in Brazil: Evidence from a Randomized Controlled Trial in the Equatorial Group
RCT ID
AEARCTR-0016313
Initial registration date
October 17, 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
October 23, 2025, 6:47 AM EDT

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

Locations

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Primary Investigator

Affiliation
326.550.188-42

Other Primary Investigator(s)

PI Affiliation
University of São Paulo
PI Affiliation
University of São Paulo
PI Affiliation
University of São Paulo
PI Affiliation
University of São Paulo

Additional Trial Information

Status
In development
Start date
2025-12-01
End date
2026-12-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study evaluates how different types of electricity tariff plans affect consumer behavior in low-income areas of Northern and Northeastern Brazil. In partnership with a major electricity utility (Equatorial Energia), households were randomly assigned to receive offers of alternative tariff options, including prepaid electricity, time-of-use pricing, and dynamic pricing. These options aim to increase payment regularity and reduce electricity theft by giving consumers more flexibility and control over their energy spending. The study also tests behavioral nudges like reminders and personalized consumption feedback. Outcomes will be measured using administrative billing and consumption data from the utility, and may be complemented by follow-up surveys.
External Link(s)

Registration Citation

Citation
Lucinda, Claudio et al. 2025. "Behavioral and Economic Impacts of Time-of-Use Tariff in Brazil: Evidence from a Randomized Controlled Trial in the Equatorial Group." AEA RCT Registry. October 23. https://doi.org/10.1257/rct.16313-1.0
Experimental Details

Interventions

Intervention(s)
This study evaluates the impact of an innovative electricity tariff modality implemented by the Equatorial Group in two cities in Northeastern Brazil: Maragogi (AL) and Barreirinhas (MA). The initiative is a social experiment based on the application of the Tarifa Melhor Hora (Time-of-Use – ToU), which establishes fixed, differentiated prices for peak and off-peak hours, communicated to consumers in advance. The main goal of the ToU tariff is to encourage the shift of electricity consumption to periods of lower demand, thereby reducing system overload and promoting more efficient energy use.
The tariff will be applied to a sample of Consumer Units (UCs) previously selected based on specific eligibility criteria related to consumption profiles. In each municipality, eligible low-voltage consumers, including households and small commercial establishments, will be randomly assigned to treatment or control groups. Randomization will be conducted at the UC level, stratified by customer class (residential or commercial) and historical energy consumption quintiles.
Participants in the treatment group will receive the new tariff, accompanied by targeted communications sent by the utility provider. These communications explain how the tariff works and guide consumers on how to adjust their habits to achieve financial benefits. The content is personalized according to the consumer class and location and may include energy-saving tips, illustrative bill examples, and visual aids. On the other hand, consumers in the control group will continue under the conventional tariff, with no changes to prices or communications received.
Before the intervention began, smart meters were installed in all selected units. These devices enable high-frequency monitoring of electricity consumption, allowing for a more precise analysis of the effects of the new tariff. The intervention will last a minimum of 12 months, with additional monitoring after this period.
Intervention Start Date
2025-12-01
Intervention End Date
2026-12-01

Primary Outcomes

Primary Outcomes (end points)
Peak-period consumption (kWh): Total energy consumed during the peak hours defined by the utility provider. This indicator captures the behavioral response to price signals and the effectiveness of shifting consumption.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1) Bill amounts and payment regularity: This includes the total bill value (in Brazilian reais, R$) and the number of payments made on time. These indicators capture the financial impact of the intervention and the potential risk of default.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study employs a Randomized Controlled Trial (RCT) to assess the behavioral and economic impacts of a Time-of-Use (ToU) electricity tariff, implemented by the Equatorial Group in two tourist municipalities in Northeastern Brazil: Maragogi (AL) and Barreirinhas (MA).

In each city, a pool of eligible low-voltage consumers—both residential and small commercial—was selected based on historical electricity consumption and administrative criteria (e.g., exclusion of units with distributed generation, recipients of the social tariff, frequent disconnections due to nonpayment, etc.).

The experimental design consists of:
1. Separate randomizations by city, generating two independent experiments (Maragogi and Barreirinhas);
2. Stratification by consumption quintiles and customer class;
3. Random assignment to treatment and control groups using a 1.3:1 treatment-to-control ratio;
4. Unit of randomization: electricity consumption unit (unidade consumidora, or UC);
5. Randomization procedure: implemented via R and Python scripts;
6. Oversampling strategy: for each sampling unit, approximately four UCs were drawn. From these, the utility selected one based on feasibility criteria (same class, municipality, and consumption quintile) to ensure a higher success rate of meter installation.

Consumers in the control group remained on the conventional tariff, while those in the treatment group were assigned the ToU tariff, accompanied by targeted communication strategies encouraging demand response. High-frequency metering was installed for all selected units, enabling precise estimation of the intervention’s effects on energy use and consumer behavior.
Experimental Design Details
Not available
Randomization Method
Randomization will be performed using scripts developed in R and Python.
Randomization Unit
The unit of randomization is the electricity consumption unit (UC), which corresponds to an individual metering point, typically a household or small commercial establishment. Randomization will be conducted separately for ToU and for each of the two cities under concession by the Equatorial Group: Maragogi (AL) and Barreirinhas (MA). Each UC will be randomly assigned to either the treatment or control group, stratified by consumer class (residential and commercial) and historical energy consumption quintiles.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable. The treatment is individually randomized at the electricity consumption unit (UC) level.
Sample size: planned number of observations
3,512 electricity consumption units (UCs), distributed by city according to smart-meter availability: • Maragogi (AL): 1,756 UCs • Barreirinhas (MA): 1,756 UCs
Sample size (or number of clusters) by treatment arms
Each city follows a 1.3:1 treatment-to-control allocation. Approximate counts:
• Maragogi (AL): ~993 treatment / ~763 control (total 1,756)
• Barreirinhas (MA): ~993 treatment / ~763 control (total 1,756)
Notes: Final counts may vary slightly due to installation success and administrative exclusions.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number