There is a growing body of literature focusing on the importance of peer effects on adoption decisions. However, little attention is paid on how interventions affect networks. We are analyzing network changes as well as the influence of peer effects on the adoption of technologies.
Our analysis is built on a unique dataset that combines a randomized controlled trial (RCT) with detailed panel data on communication networks. The RCT was implemented in rural Kenya and consisted of varying combinations of agricultural and nutrition training.
The broader purpose of the extension training was the promotion of the black bean variety KK15. Survey data from 48 farmer groups (824 households) was collected before (2015) and after (2016) the intervention. Our results suggest that the interventions had a positive impact on the creation of communication links. Therefore, we plan to model peer effects in a dynamic fashion. We will estimate the effect of peers in nutrition and agricultural networks on individual adoption decisions.