microfinance organizations believed to be among the best in Bolivia. These lenders represent different combinations of …

This report follows up on a 1996 UNDP survey of microfinance activity in Vietnam. The need was not simply because of … the five-year time lapse, but also because the larger multilateral donors were showing interest in funding microfinance … benefit. This report had highlighted a number of problems concerning microfinance in Vietnam. These concerns, however, should …

In developing countries, microfinance has been the darling of the development community, and in developed countries …, microfinance fits well with Third Ways ideas. What are the challenges and opportunities for the attempt to replicate microfinance … for microfinance and drive up costs. With costs well above revenues, U.S. programs are far from achieving financial self …

microfinance in the United States has been sparked by reports of the success of the Grameen Bank of Bangladesh. Was Grameen a good …In the next ten years, advocates of microfinance organizations (MFOs) will seek more than $20 billion to provide small …-percent increase in the about $200 million spent per year on domestic microfinance. Most of the excitement for the promise of …

loans with characteristics similar to current loans--to inform decisions. Can credit scoring do the same for microfinance … lenders in poor countries? This paper argues that scoring does have a place in microfinance. Although scoring is less powerful …--current microfinance technologies. Furthermore, the derivation of the scoring formula reveals how the characteristics of borrowers, loans …

Can scoring models help microfinance lenders in poor countries as much as they have helped credit-card lenders in rich … microfinance depend on many factors difficult to include in statistical models, I find that inexpensive data does indeed have some … predictive power. In microfinance, computer models will not replace loan officers, but they can flag the highest risks and act as …

This paper presents a scoring model that predicts the risk of drop-out for borrowers at a microfinance lender in … suggest that scoring may help microfinance lenders to detect segments of their clientele (and even specific current clients …