CEDIL Lessons Learned Papers
The CEDIL Lessons Learned series shares learning from across the CEDIL programme.
This paper describes these studies using machine learning methods to enhance the inferences made from impact evaluations, gives an overview of the common aims and methodological approaches used in impact evaluations, and highlights some lessons and important caveats.Read more
This paper provides an overview of how, in CEDIL-funded studies, claims arising from research (termed ‘evidence claims’ for brevity) have been justified and communicated in order to inform policy decisions relating to socio-economic development.Read more
During its inception stage, enhancing transferability through the use of middle-level theory (MLT) was identified as a Programme of Work for the CEDIL programme, which commissioned 17 studies using such an approach. This paper reviews the experience of these studies and proposes a research agenda for further use of MLT.Read more