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Evaluation of Mass Electricity Connections in Kenya

Last registered on July 30, 2014

Pre-Trial

Trial Information

General Information

Title
Evaluation of Mass Electricity Connections in Kenya
RCT ID
AEARCTR-0000350
Initial registration date
April 23, 2014

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
April 23, 2014, 3:56 PM EDT

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

Last updated
July 30, 2014, 5:57 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
University of California, Berkeley

Other Primary Investigator(s)

PI Affiliation
University of California, Berkeley
PI Affiliation
University of California, Berkeley
PI Affiliation
University of California, Berkeley

Additional Trial Information

Status
On going
Start date
2014-02-07
End date
2016-08-31
Secondary IDs
Abstract
Electrification has long been a benchmark of development, yet almost 70% of the population of Sub-Saharan Africa lives without access to electricity. Since 2006, Kenya’s Rural Electrification Authority (REA) has rapidly expanded the national grid, installing electricity distribution lines and transformers across many of the country’s rural areas. There is now a unique opportunity to increase rural energy access through grid connections. This study explores the opportunity to increase rural energy access through grid connections. We utilize a randomized controlled trial to examine: 1) the demand for grid connections in rural areas, 2) the cost economies associated with mass connections, and 3) the social and economic impacts of grid power.

External Link(s)

Registration Citation

Citation
Brewer, Eric et al. 2014. "Evaluation of Mass Electricity Connections in Kenya." AEA RCT Registry. July 30. https://doi.org/10.1257/rct.350-3.0
Former Citation
Brewer, Eric et al. 2014. "Evaluation of Mass Electricity Connections in Kenya." AEA RCT Registry. July 30. https://www.socialscienceregistry.org/trials/350/history/2258
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
In partnership with the Rural Electrification Authority (REA), our team of researchers will distribute national grid connection subsidies of varying amounts to randomly selected unconnected households in rural parts of Western Kenya. These subsidies will allow households to connect to the national power grid at relatively low prices (compared to the current connection price of $412). There will be three levels of subsidies: (1) high value subsidies equal to $412, (2) mid value subsidies equal to $235, (3) low value subsidies equal to $118.

The randomized encouragement design will allow researchers to generate exogenous variation in electricity connections. In the first stage of the project, the intervention will allow researchers to: (1) trace out the demand curve for electricity connections in order to better understand the price at which the majority of Kenyans would connect to the grid, and (2) trace out the economies of scale in costs resulting from coordinated (grouped) connections. In the second stage of the project, the intervention will allow researchers to measure the social and economic impacts of electrification. The remainder of this text will focus on describing the first stage of this project.
Intervention Start Date
2014-04-28
Intervention End Date
2014-08-31

Primary Outcomes

Primary Outcomes (end points)
The following are the key outcome variables of interest in the first stage of the project:

1. Demand: Different levels of subsidies will create random variation in the effective prices faced by rural households. By comparing take-up rates at different prices, researchers will be able to trace out a demand curve for grid connections.

2. Costs: Different levels of subsidies will create random variation in the number of households applying for power at the same time. By connecting multiple households at the same time, utilities can experience significant economies of scale in transport, design, and low-voltage line costs. We will therefore estimate the effect of increasing scale (i.e. number of applications) on the average connection cost per household.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study will take place across 150 “transformer communities” in Western Kenya. Each transformer community is defined as the group of all households located within 600 meters of a central electricity distribution transformer. In Kenya, all households within 600 meters of a transformer are eligible to apply for an electricity connection. The study will enroll roughly 15 randomly selected unconnected households from each transformer community. The subject population will consist of roughly 2,550 unconnected households in total.

The total sample of transformer communities will be randomly divided into treatment and control groups of equal size (75 treatment, 75 control). Each of the 75 treatment communities will be randomly assigned to one of three treatment arms (i.e. subsidy groups). Within each treatment community, all enrolled households will receive the same subsidy offer. After receiving the subsidy offer, treatment households will be given 8 weeks to accept the offer and deliver the required payment to REA. REA will then ensure that an electricity connection is delivered within a reasonable timeframe. Within each treatment community, connection applications will be grouped together, allowing REA to install multiple connections at the same time.
Experimental Design Details
Randomization Method
Randomization done in office by a computer
Randomization Unit
Randomization will be performed at the level of the transformer community. There are 150 transformer communities in total, of which 75 will be assigned to the treatment group and 75 will be assigned to the control group.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
150 clusters
Sample size: planned number of observations
2,550 households
Sample size (or number of clusters) by treatment arms
75 clusters control, 25 clusters high subsidy, 25 clusters mid subsidy, 25 clusters low subsidy
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Maseno University Ethics Review Committee
IRB Approval Date
2013-11-05
IRB Approval Number
MSU/DRPC/MUERC/000027/13
IRB Name
Committee for Protection of Human Subjects (University of California, Berkeley)
IRB Approval Date
2013-09-23
IRB Approval Number
2012-07-4477
Analysis Plan

Analysis Plan Documents

A note on pre-analysis plans (July 2014)

MD5: b7d37fb2c1985ff700b92b02d04cefe0

SHA1: 421d287185dbbd8eefda00205c9de4669cc93fa1

Uploaded At: July 02, 2014

Pre-analysis plan: The demand for and costs of supplying grid connections in Kenya

MD5: b9eb9f7ad25e10d86714a88f86532395

SHA1: 8025718c26a04f1911f61420444bb0636b8e17c1

Uploaded At: July 30, 2014

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials