Mobile Money, Financial Misconduct and Information Interventions
Last registered on December 16, 2019

Pre-Trial

Trial Information
General Information
Title
Mobile Money, Financial Misconduct and Information Interventions
RCT ID
AEARCTR-0003812
Initial registration date
December 12, 2019
Last updated
December 16, 2019 11:07 AM EST
Location(s)

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Primary Investigator
Affiliation
Georgia State University
Other Primary Investigator(s)
PI Affiliation
The World Bank
Additional Trial Information
Status
On going
Start date
2018-10-01
End date
2020-05-31
Secondary IDs
Abstract
We will explore misconduct-reducing interventions that help low-income populations adopt, transact and save on Mobile Money -- a growing and well celebrated example of FinTech. We will address the questions of “How to measure financial misconduct?”, "What is the nature of and mechanisms underlying misconduct?" and “How big is the impact of misconduct-reduction?” on M-Money. Results will have important implications for financial technology adoption and inclusion among low-income environments.
External Link(s)
Registration Citation
Citation
Annan, Francis and Aly Sanoh. 2019. "Mobile Money, Financial Misconduct and Information Interventions." AEA RCT Registry. December 16. https://doi.org/10.1257/rct.3812-1.0.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-08-15
Intervention End Date
2020-02-15
Primary Outcomes
Primary Outcomes (end points)
misconduct (incidence), misconduct (severity), adoption outcomes, business outcomes
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
design I: randomized matches between market participants and audit studies
design II: randomized assignment of information interventions across villages and local markets
Experimental Design Details
Not available
Randomization Method
randomization: using computer softwares and simple coin flips
Randomization Unit
units: market participants (individual) and localities/ villages (clustered)
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
136 localties/ villages
Sample size: planned number of observations
2000 market participants; 300 local markets
Sample size (or number of clusters) by treatment arms
34 localities control, 34 localities price-transparency information, 34 localities monitoring, 35 localities both treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Georgia State University
IRB Approval Date
2019-11-05
IRB Approval Number
H20260