Ground-truthed community-based information over time and space can improve the design of climate risk instruments, reducing the mismatch between farmers' reported events and remote sensing datasets. However, increasing constraints on direct interaction and a lack of incentives for rural...

The objective of this paper is to frame the key issues and summarize the current state of knowledge about and innovations in index-based risk transfer products (IBRTPs) as they relate to the management of climate risk for poverty reduction, especially of chronic or persistent poverty. In the...

This paper presents a theoretical model to investigate the potential environmental consequences of weather index based insurance, a tool for mitigating weather risk that is gaining momentum in developing countries. We model potential effects of index insurance for pastoralists on animal stocking...

Weather insurance is a financial instrument proposed to increase coverage of unprotected weather shocks in developing countries. Structuring sales as group-based products has been argued as a strategy to increase the attractiveness of index insurance, raising the question as to what impacts...

Games are particularly relevant for field research in agriculture, where alternative experimental designs can be costly and unfeasible. Games are also popular for non-experimental purposes such as recreating learning experiences and facilitating dialogue with local communities. After a...

We develop theory and present a suite of theoretically consistent empirical measures to explore the extent to which market intervention inadvertently alters resource allocation in a sequentialmove principal/agent game. We showcase our approach empirically by exploring the extent to which the...

There is evidence that asymmetric information in the housing market between sellers and buyers is an important source of mispricing, especially when involving out-of-town buyers (Chinco and Mayer 2016, Kurlat and Stroebel 2015). In this paper we show that a specific cognitive bias, the...