Designing Index Based Livestock Insurance for Managing Asset Risk in Northern Kenya
Australian National University - Crawford School of Economics and Government
Andrew G. Mude
Cornell University - Department of Economics
Christopher B. Barrett
Cornell University - Charles H. Dyson School of Applied Economics & Management
Michael R. Carter
University of Wisconsin - Madison - Department of Agricultural & Applied Economics
January 1, 2011
Journal of Risk and Insurance, 2011
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 derivativesAccepted Paper Series
Date posted: May 20, 2011
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