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The economics of reliability in Accra, Ghana
Last registered on October 22, 2019

Pre-Trial

Trial Information
General Information
Title
The economics of reliability in Accra, Ghana
RCT ID
AEARCTR-0004886
Initial registration date
October 21, 2019
Last updated
October 22, 2019 11:15 AM EDT
Location(s)

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Primary Investigator
Affiliation
University of California at Berkeley
Other Primary Investigator(s)
PI Affiliation
Texas A&M University
PI Affiliation
University of California at Berkeley
Additional Trial Information
Status
In development
Start date
2019-11-01
End date
2020-12-31
Secondary IDs
Abstract
In urban areas of Ghana, more than 90% of households are already connected to the electric grid. In these settings, the primary issue is the reliability of the grid rather than the lack of access to electricity. Since 2012, persistent power failures in Ghana have negatively affected its economy and given rise to the term “Dumsor,” meaning “lights off-on” in the local Akan language. According to the 2013 World Bank Enterprise Surveys, 61.2% of firms in Ghana see electricity reliability as a major constraint, with firms reporting an average of over 700 hours of outages annually, compared to 1.5 hours for firms in the U.S. We deploy the GridWatch technology and exploit experimental and quasi-random variation in power quality across Accra to understand the costs, benefits, and socio-economic impacts of power quality improvements.
External Link(s)
Registration Citation
Citation
Berkouwer, Susanna, Steven Puller and Catherine Wolfram. 2019. "The economics of reliability in Accra, Ghana." AEA RCT Registry. October 22. https://doi.org/10.1257/rct.4886-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-02-01
Intervention End Date
2020-12-31
Primary Outcomes
Primary Outcomes (end points)
- Firm productivity measures
- Household well-being measures
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
A combination of:
- Random variation
- Spatial discontinuity design
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer.
Randomization Unit
TBD
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
TBD
Sample size: planned number of observations
5000 households and firms.
Sample size (or number of clusters) by treatment arms
TBD
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of California at Berkeley
IRB Approval Date
2018-05-30
IRB Approval Number
CPHS 2017-12-10599