CEDIL's lessons learned papers

CEDIL Lessons Learned Papers

The CEDIL Lessons Learned series shares learning from across the CEDIL programme.

Machine learning for impact evaluation in CEDIL-funded studies: an ex ante lesson learning paper

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.

Evidence claims for informing decisions relating to socio-economic development

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.

The use of middle-level theory in CEDIL-funded research studies

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.