In the past, we've talked about peer effects and low adoption rates of mobile money banking accounts in Bangladesh. Our research exploring these issues (as well benefits for migrant workers) is in full swing! It is a randomized evaluation, which means that half of the sample is randomly assigned to a control group, while half of the sample is randomly assigned to the treatment group, which receives training and assistance with signing up for mobile money accounts.
In this video, co-investigator Dr. Abu Shonchoy audits the training by re-interviewing a woman who was part of the treatment group to make sure that the training was thorough and made the service understandable to the participant.
We will continue to provide updates as this work progresses and as initial findings begin to crystallize.
Editor’s Note: I’m going to assume that you are seeing plenty of AI content (news and papers, not AI slop, though I’m sure you’re getting plenty of that too) from other sources, so I’m trying to think hard about the marginal value that the faiV can provide. As far as I’ve gotten so far: a) make sure that directly AI-related content does not take up more than 2 of the 5 items, and b) try to focus specifically on the cybersecurity issue for financial inclusion. Beyond that, I’m open to feedback on the value you get from the faiV in relation to AI to help guide us in the future. On a different note, I’ll be making a brief cameo appearance at the e-MFP Inclusive Finance Conference to moderate the opening plenary. If you haven’t registered, do so and I hope to see you there! - Tim Ogden