Impact of savings groups on the lives of the poor.

Savings-led microfinance programs operate in poor rural communities in developing countries to establish groups that save and then lend out the accumulated savings to each other. Nonprofit organizations train villagers to create and lead these groups. In a clustered randomized evaluation spanning three African countries (Ghana, Malawi, and Uganda), we find that the promotion of these community-based microfinance groups leads to an improvement in household business outcomes and women's empowerment.

Credit with Health Education in Benin: A Cluster Randomized Trial Examining Impacts on Knowledge and Behavior.

We evaluate whether health education integrated into microcredit lending groups reduces health risks by improving health knowledge and self-reported behaviors among urban and rural borrowers in eastern Benin. In 2007, we randomly assigned 138 villages in the Plateau region of Benin to one of four variations of a group liability credit product, varying lending groups' gender composition and/or inclusion of health education using a 2 × 2 design. Women in villages receiving health education, regardless of gender composition of the groups, showed improved knowledge of malaria and of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), but not of childhood illness danger signs.

Development economics. A multifaceted program causes lasting progress for the very poor: evidence from six countries.

We present results from six randomized control trials of an integrated approach to improve livelihoods among the very poor. The approach combines the transfer of a productive asset with consumption support, training, and coaching plus savings encouragement and health education and/or services. Results from the implementation of the same basic program, adapted to a wide variety of geographic and institutional contexts and with multiple implementing partners, show statistically significant cost-effective impacts on consumption (fueled mostly by increases in self-employment income) and psychosocial status of the targeted households.