Elasticity of Support for Electricity Tariff Reform

Last registered on October 18, 2024
View Trial History

Pre-Trial

Trial Information

General Information

Title
Elasticity of Support for Electricity Tariff Reform
RCT ID
AEARCTR-0014535
Initial registration date
October 08, 2024

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 18, 2024, 5:01 PM 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

Name
Christopher Hoy
Affiliation
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Lydia Kim
PI Affiliation
PI Name
Ana Maria Rojas Mendez
PI Affiliation

Additional Trial Information

Status
In development
Start date
2024-10-01
End date
2025-02-28
Keywords
Environment & Energy
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines the elasticity of support for electricity tariff reform
External Link(s)

Registration Citation

Citation
Hoy, Christopher, Lydia Kim and Ana Maria Rojas Mendez. 2024. "Elasticity of Support for Electricity Tariff Reform." AEA RCT Registry. October 18. https://doi.org/10.1257/rct.14535-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-10-08
Intervention End Date
2024-11-05

Primary Outcomes

Primary Outcomes (end points)
Support for electricity tariff reforms (see 7.03-7.07 in survey)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We test how support for electricity tariff reform varies at different price levels and with different types of information
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
3000
Sample size (or number of clusters) by treatment arms
667
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

Document Name
Survey instrument
Document Type
survey_instrument
Document Description
File
Survey instrument

MD5: 6f1993e0ffd6e95ca9d39736722737d1

SHA1: 56074b6a637d44baae3447cddf65fda0c5e60d47

Uploaded At: October 18, 2024

IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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