A recent article on the “average impact of microcredit” by Dr. Rachel Meager (LSE) has received much praise over the past few weeks. Meager deploys Bayesian hierarchical modelling to provide a new take on the argument in favour of a reformed system of microcredit. Her work builds on the data provided by six randomized control trials (RCTs) conducted by Abhijit Banerjee and colleagues (see Banerjee, Karlan and Zinman, 2015). Meager makes an attempt to exculpate the microcredit model from the awkward fact that its impact on the poor has been very much less than originally envisaged. She also claims to show that the critics have overstated the negative impact of microcredit. Microcredit should therefore continue to be a policy intervention, she goes on to say, but there need to be changes in the operating methodology for a more meaningful development impact to be possible in the future.
While seemingly a well-meaning attempt to explore the impact of microcredit, we were struck by the way that her overall argument appears to seriously misunderstand, and it definitely misrepresents, the existing research on microcredit as a development instrument. Read More »