This paper presents a scoring model that predicts the risk of drop-out for borrowers at a microfinance lender in Bolivia. Drop-out risk was greater for women, manufacturers, newer borrowers, and those with more arrears. Out-of-sample tests suggest that scoring may help microfinance lenders to...

This article presents a practical methodology to monitor poverty changes among microfinance clients using available household panel data. As an example, it presents an estimation of the net number of people that rose above the $1/day poverty line while members of Grameen Bank and BRAC during...