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Designing Index Based Livestock Insurance for Managing Asset Risk in Northern KenyaSommarat ChantaratAustralian National University - Crawford School of Economics and Government Andrew G. MudeCornell University - Department of Economics Christopher B. BarrettCornell University - Charles H. Dyson School of Applied Economics & Management Michael R. CarterUniversity of Wisconsin - Madison - Department of Agricultural & Applied Economics January 1, 2011 Journal of Risk and Insurance, 2011 Abstract: This paper describes a novel index-based livestock insurance (IBLI) product piloted among pastoralists in northern Kenya, where insurance markets are effectively absent and uninsured risk exposure is a main cause of poverty. We describe the methodology used to design the contract and its underlying index of predicted area-average livestock mortality, Established statistically using longitudinal observations of household-level herd mortality fit to remotely sensed vegetation data. Household-level performance analysis based on simulated data finds that IBLI removes 25-40% of total livestock mortality risk. We describe the contract pricing and the potential risk exposure of the underwriter to establish IBLI’s reinsurability on international markets.
Keywords: Drought risk management, index insurance, Kenya, livestock insurance, livestock mortality, NDVI, pastoralists, remote sensing, vegetation index, weather derivatives Accepted Paper SeriesDate posted: May 20, 2011Suggested CitationContact Information
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