Designing Index Based Livestock Insurance for Managing Asset Risk in Northern Kenya

By Sommarat Chantarat, Andrew G. Mude, Christopher B. Barrett, Michael R. Carter. 2013

352 citations recorded by the source corpus.

Subfields: General Health Professions, Management, Monitoring, Policy and Law, Soil Science

View Paper: https://www.semanticscholar.org/paper/b3dba98ca20c68283c76d67bcd3b778314b3a64c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

In Management, Monitoring, Policy and Law

In Soil Science

Citations in the corpus

How Basis Risk and Spatiotemporal Adverse Selection Influence Demand for Index Insurance: Evidence from Northern Kenya (2014, methodology): “The index: As described in Chantarat et al. (2013), the index in IBLI is the predicted livestock mortality rate.”
After the Drought: The Impact of Microinsurance on Consumption Smoothing and Asset Protection (2013, neutral): “The IBLI index has been shown to be highly correlated with actual livestock mortality losses experienced by pastoralists in the region so that basis risk is perceived to be minimal (see Chantarat et al., 2010, 2012 for details regarding the design and performance of the index).4 Households choose th”
Climate-smart agriculture global research agenda: scientific basis for action (2014, background): “Livestock in Northern Kenya’s arid and semiarid lands account for more than two-thirds of average income, with most livestock mortality associated with severe drought [164].”
Agricultural Index Insurance for Development (2017, background): “…indices or new product designs such as the multiple strike policies piloted in Mali (Elabed et al. 2014; Elabed et al. 2016) or the statistically-derived livestock mortality rate Normalized Difference Vegetation Index (NDVI) response function piloted in northern Kenya (Chantarat et al. 2013).”
Index Insurance Quality and Basis Risk: Evidence from Northern Kenya (2016, methodology): “Second, IBLI polices are based on an index that was generated using a long panel of household data and regression methods expressly to minimize basis risk (Chantarat et al. 2013).”