Evaluating the Impact of Training and Credit Supply on Retail Performance
Last registered on April 16, 2019

Pre-Trial

Trial Information
General Information
Title
Evaluating the Impact of Training and Credit Supply on Retail Performance
RCT ID
AEARCTR-0003720
Initial registration date
December 20, 2018
Last updated
April 16, 2019 5:58 PM EDT
Location(s)

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Primary Investigator
Affiliation
UC Berkeley
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
2018-12-07
End date
2019-10-31
Secondary IDs
Abstract
The project aims at identifying the impact of wholesale credit and training availability on the performance of small entrepreneurs. In conjunction with Unilever and Mastercard we have developed a randomized control trial in which wholesale credit and training will be given randomly to the operators of small stores in Kenya.
External Link(s)
Registration Citation
Citation
Jeziorski, Przemyslaw. 2019. "Evaluating the Impact of Training and Credit Supply on Retail Performance ." AEA RCT Registry. April 16. https://www.socialscienceregistry.org/trials/3720/history/45009
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
The study will proceed as follows:
1. Baseline survey
2. Training and credit will be randomized
3. Treatment is deployed
4. Midline survey
5. End-line survey
Intervention Start Date
2019-01-07
Intervention End Date
2019-05-31
Primary Outcomes
Primary Outcomes (end points)
Breath, and depth of the store assortment, prices, product inventory, profits, costs, revenues, proprietary wholesale order sheets.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We employ stratified randomization among credit eligible stores. We go to the new market that would not receive credit or training without study. Subsequently we ration credit and training and credit randomly.
Experimental Design Details
Not available
Randomization Method
Stratified randomization by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1250 individuals
Sample size: planned number of observations
1250 individuals
Sample size (or number of clusters) by treatment arms
Approximately 312 in each arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UC Berkeley
IRB Approval Date
2018-07-23
IRB Approval Number
00006252