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Welfare Impacts of Micro-Loans in Nigeria
Last registered on November 15, 2019


Trial Information
General Information
Welfare Impacts of Micro-Loans in Nigeria
Initial registration date
November 14, 2019
Last updated
November 15, 2019 10:12 AM EST

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Primary Investigator
U.C. Berkeley
Other Primary Investigator(s)
PI Affiliation
Brown University
PI Affiliation
U.C. Berkeley
PI Affiliation
U.C. Berkeley
Additional Trial Information
In development
Start date
End date
Secondary IDs
We are studying the impact of small loans on the welfare of loan applicants. Through a partnership with a financial institution operating in Nigeria, a subset of new loan applicants are randomly assigned to different groups, which creates random variation in the likelihood a borrower is approved for a loan, and the value of the loan they are approved for. Between 4-20 weeks after the initial loan application, a phone survey is conducted with each subject that measures several different aspects of welfare. We are interested in estimating average and heterogeneous treatment effects of these loans.
External Link(s)
Registration Citation
Bjorkegren, Daniel et al. 2019. "Welfare Impacts of Micro-Loans in Nigeria." AEA RCT Registry. November 15. https://doi.org/10.1257/rct.5029-1.0.
Experimental Details
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
We are mainly interested in the welfare impacts of digital micro-loans. The relevant outcomes of interest are broadly grouped into the following families: (i) resilience, (ii) subjective well-being, (iii) women's economic empowerment, (iv) financial behavior and well-being, and (v) income, expenditures and occupations
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Our partner organization in Nigeria has agreed to randomize loan applicants into a number of different treatment groups (irrespective of their credit score), which creates individual variation in the likelihood of loan approval, and also in the loan amount. Our control group comprises a random sample of 'business-as-usual' customers, who might not be able to avail of a loan in the event that their credit score is too 'low'. Between 4-20 weeks after the initial loan application, a phone survey is conducted with around 4,000 individuals (in treatment and control) that measures various aspects of welfare outlined earlier. We exploit the random variation in the likelihood of loan approval, and the random variation in loan amounts disbursed to estimate average and heterogeneous treatment effects (both intent to treat and treatment on treated) on the outcomes of interest.
Experimental Design Details
Not available
Randomization Method
Randomization done in office via computer
Randomization Unit
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
50,000 individuals
Sample size: planned number of observations
50,000 individuals with admin data, of whom roughly 4,000 will be surveyed
Sample size (or number of clusters) by treatment arms
~15k individuals in treatment 1
~15k individuals in treatment 2
~15k individuals in control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
Committee for the Protection of Human Subjects, UC Berkeley
IRB Approval Date
IRB Approval Number