This presentation took place in Lima, Peru on July 11, 2011 and explores the benefits of better public and private sector organization in efforts exploring index insurance.
Impact evaluation based on randomized controlled trials (RCTs) has in particular fundamentally altered the discourse of development economics over the past decade. This paper illustrates why economic development and development economics will be better served if we can arrive at a balanced appreciation of the essential but limited role of RCTs and experiments.
L’article présent résume le travail réalisé par Michael Carter, Rachid Laajaj et Andres Moya avec l’aide de Catherine Guirkinger et Ombeline De Bock, qui ont envisagé deux types d’indices : l’indice climatique et l’indice basé sur les rendements moyens.
This paper, which is primary methodological, seeks to facilitate future efforts to accumulate knowledge and understanding of how index insurance works and whether or not it is likely to deliver on the promise of positive impacts on household welfare and efficiency of the rural economy.
This paper explores whether, when and how index insurance can enhance the functioning of agricultural credit markets and enhance farmers’ expected income even as it reduces the variance of income.
This memorandum describes how the Normalized Difference Vegetation Index (NDVI) can help to realize the potential of index insurance to build credit markets, enhance technology adoption and support farmers' income.
