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Community Organizations Cornell University
Cornell University
Cornell University
University or Research Institution

Location

Ithaca
New York
United States

Cornell is a privately endowed research university and a partner of the State University of New York. As the federal land-grant institution in New York State, we have a responsibility—unique within the Ivy League—to make contributions in all fields of knowledge in a manner that prioritizes public engagement to help improve the quality of life in our state, the nation, the world.

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Resources

Displaying 16 - 20 of 27

Developing Index Based Livestock Insurance for managing livestock asset risks in Northern Kenya

Policy Papers & Briefs
maart, 2010
Kenya
Africa
Eastern Africa

This study develops an index-based livestock insurance (IBLI) product for managing key livestock asset risks of pastoralists in the arid and semi-arid lands of northern Kenya, where insurance markets are effectively absent and uninsured risk exposure is a main cause of persistent poverty.

Explaining index based livestock insurance to pastoralists

Reports & Research
februari, 2010
Kenya
Eastern Africa

Livestock production in arid and semi-arid rangelands is a risky enterprise. Covariate risk of catastrophic livestock loss due to drought is the most critical uninsured risk facing livestock producers. These losses can lead to persistent poverty. We are trying to design an index based livestock insurance (IBLI) program as a viable means to help pastoralists in northern Kenya manage such covariate risk of livestock losses due to drought.

The performance of index based livestock insurance: ex ante assessment in the presence of a poverty trap

Manuals & Guidelines
november, 2009
Kenya
Eastern Africa

This paper evaluates the effectiveness of a new index-based livestock insurance (IBLI)

product designed to compensate for area average predicted livestock mortality loss in

northern Kenya, where previous work has established the presence of poverty traps. We

simulate household-specific wealth dynamics based on a model parameterized using rich

panel and experimental data from the region. The simulations allow us to investigate

patterns of willingness to pay for asset index insurance that is imperfectly correlated with