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dc.contributor.authorAwondo, Sebastain NDE
dc.description.abstractGlobal food security and rural households are increasingly vulnerable to adverse weather conditions associated to climate change. Informal risk-sharing and self insurance risk mechanisms on which poor households traditionally rely on do not provide complete insurance, while formal insurance suffer from low demand and underinsurance. This dissertation investigate alternative approaches to design efficient insurance contracts. Chapter one explores a novel method to estimate an area yield index insurance based on a Hierarchical Bayes (HB) small area estimator. Chapter two investigate how self-insurance from the adoption of Improved Maize Varieties (IMV) and off-farm income affects risk premiums for smallholder farmers in Uganda. Chapter three investigates the potential for bundling drought tolerant maize varieties (DTMV) with a multi-site rainfall index insurance in Africa. The proposed estimator and bundle is found to be significantly more efficient and provide better risk management tool.
dc.subjectCrop Insurance, Efficiency, Bias, Small area estimation, Hierarchical Bayes, Informal insurance, Maize production risk, Premium bias, Multi-site index insurance, Drought tolerant maize, Multivariate hierarchical Bayes.
dc.titleEssays on designing efficient insurance contracts using shrinkage estimators and informal insurance complementarities
dc.description.departmentAgricultural and Applied Economics
dc.description.majorAgricultural Economics
dc.description.advisorGregory Colson
dc.description.advisorEsendugue Fonsah
dc.description.committeeGregory Colson
dc.description.committeeEsendugue Fonsah
dc.description.committeeOctavio A. Ramirez
dc.description.committeeGenti Kostandini
dc.description.committeeGauri Datta

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