In the past, the microcredit movement was driven by inspiring stories, but today donors and investors increasingly see the importance of measuring impacts. In order to credibly establish program impacts, having control groups is central, and the development of randomized controlled trials (RCT) is moving methodological possibilities forward.
Some of the most well-known researchers in the RCT field include, Abhijit Banerjee and Esther Duflo, who just released their new book Poor Economics this week, and Dean Karlan, who co-wrote the recently published More than Good Intentions with Jacob Appel. The findings from their RCTs are central to the stories told in both these books.
Nonetheless, after 30 years of microcredit and the rise of randomized trials, we still don't have an impact evaluation that is ideal, but we're getting closer. So we at FAI decided it was time to do a little round-up of what the RCT research from our archive suggested on the subject of whether microfinance works. We’ve thrown in a couple of additional and newer papers on the subject for good measure. You’ll see that while the results don’t tell us that microfinance works all the time to solve every problem we hoped it would, the RCTs do tell us a lot about what is working and what is not working in individual programs. So perhaps we need to get more specific with our questions. Instead of asking whether microfinance works, maybe we should be asking when, how, and why it works, and also what we can learn from situations where it doesn’t have the intended effect.
- "The impact of microcredit on the poor in Bangladesh: Revisiting the evidence." Morduch, Jonathan, and David Roodman. 2009. “” Financial Access Initiative and Center for Global Development Working Paper.

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