Recent Advances in Impact Analysis Methods for Ex-post Impact Assessments of Agricultural Technology: Options for the CGIAR

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Factors Affecting Adoption of Improved Rice Varieties among Rural Farm Households in Central Nepal (2015, methodology): “This result is consistent with earlier literatures (Langyintuo and Mungoma, 2008; Kassie et al, 2011; Asfaw et al, 2012).”
The Adoption Problem; or Why We Still Understand so Little about Technological Change in African Agriculture (2016, background): “The idea of adoption has been and continues to be foundational to attempts to document technical change 4 Outlook on AGRICULTURE Vol 45, No 1 and its effects in developing country agriculture (Feder et al, 1985; Feder and Umali, 1993; see also Sunding and Zilberman, 2001; de Janvry et al, 2011).”
Scaling up agroforestry requires research ‘in’ rather than ‘for’ development (2014, background): “Such heterogeneity is often hidden in the results of impact assessments, where the principal aim is to estimate the mean effect of an intervention [37], yet such a mean is of little interest to individual farmers taking a decision on whether or not to invest in a practice.”
Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching (2013, background): “One way of reducing selection bias is random assignment of treatment (de Janvry et al., 2011), but this is not possible for expost studies.”