Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Reaching the poorest is an important objective in many development interventions, and microfinance is no exception. We review performance indicators for effectiveness of targeting described in the literature and suggest a new metric in order to account for extent and severity of poverty as well as the income distribution among the poor. When applying this to a panel dataset from a community-managed microfinance intervention in Northern Malawi, we find regressive targeting: Participants are less poor than the general population in the area. In addition, we provide suggestions as to when and why the poor exit the project.