How to Measure Whether Index Insurance Provides Reliable Protection

Agricultural index insurance offers the promise of an affordable and sustainable insurance product for farmers that can help reduce their vulnerability to aggregate agricultural shocks such as large-scale drought or flooding. However, index insuran...

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Main Authors: Morsink, Karlijn, Clarke, Daniel Jonathan, Mapfumo, Shadreck
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2016
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2016/07/26578448/measure-whether-index-insurance-provides-reliable-protection
http://hdl.handle.net/10986/24825
id okr-10986-24825
recordtype oai_dc
spelling okr-10986-248252021-04-23T14:04:27Z How to Measure Whether Index Insurance Provides Reliable Protection Morsink, Karlijn Clarke, Daniel Jonathan Mapfumo, Shadreck agriculture index insurance basis risk drought risk flood risk catastrophe insurance disaster risk management Agricultural index insurance offers the promise of an affordable and sustainable insurance product for farmers that can help reduce their vulnerability to aggregate agricultural shocks such as large-scale drought or flooding. However, index insurance provides claim payments based on a trigger that is only imperfectly correlated with losses. This implies that it carries basis risk: it may provide claim payments in years when there are no losses, and no claim payments in years when there are losses. The impact of index insurance on poverty outcomes is highly sensitive to the degree to which the product offers reliable protection. Offering unreliable index insurance may lead to high reputation risk for donors, governments, and the private sector. This study proposes to measure the reliability of index insurance in terms of two policy objectives that stakeholders may have when offering index insurance: the extent to which the insurance captures losses caused by the peril covered by the contract (insured peril basis risk) and the extent to which the insurance covers losses from agricultural production (production smoothing basis risk). For both types of basis risk two indicators are proposed: the probability of catastrophic basis risk and the catastrophic performance ratio. Donors, governments, and insurers can use the proposed monitoring indicators without much prior technical knowledge. Although the indicators specifically focus on agricultural index insurance for low-income farmers, they can be applied to any context where payments are provided based on indices that are correlated with losses. 2016-08-09T16:18:03Z 2016-08-09T16:18:03Z 2016-07 Working Paper http://documents.worldbank.org/curated/en/2016/07/26578448/measure-whether-index-insurance-provides-reliable-protection http://hdl.handle.net/10986/24825 English en_US Policy Research Working Paper;No. 7744 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic agriculture
index insurance
basis risk
drought risk
flood risk
catastrophe insurance
disaster risk management
spellingShingle agriculture
index insurance
basis risk
drought risk
flood risk
catastrophe insurance
disaster risk management
Morsink, Karlijn
Clarke, Daniel Jonathan
Mapfumo, Shadreck
How to Measure Whether Index Insurance Provides Reliable Protection
relation Policy Research Working Paper;No. 7744
description Agricultural index insurance offers the promise of an affordable and sustainable insurance product for farmers that can help reduce their vulnerability to aggregate agricultural shocks such as large-scale drought or flooding. However, index insurance provides claim payments based on a trigger that is only imperfectly correlated with losses. This implies that it carries basis risk: it may provide claim payments in years when there are no losses, and no claim payments in years when there are losses. The impact of index insurance on poverty outcomes is highly sensitive to the degree to which the product offers reliable protection. Offering unreliable index insurance may lead to high reputation risk for donors, governments, and the private sector. This study proposes to measure the reliability of index insurance in terms of two policy objectives that stakeholders may have when offering index insurance: the extent to which the insurance captures losses caused by the peril covered by the contract (insured peril basis risk) and the extent to which the insurance covers losses from agricultural production (production smoothing basis risk). For both types of basis risk two indicators are proposed: the probability of catastrophic basis risk and the catastrophic performance ratio. Donors, governments, and insurers can use the proposed monitoring indicators without much prior technical knowledge. Although the indicators specifically focus on agricultural index insurance for low-income farmers, they can be applied to any context where payments are provided based on indices that are correlated with losses.
format Working Paper
author Morsink, Karlijn
Clarke, Daniel Jonathan
Mapfumo, Shadreck
author_facet Morsink, Karlijn
Clarke, Daniel Jonathan
Mapfumo, Shadreck
author_sort Morsink, Karlijn
title How to Measure Whether Index Insurance Provides Reliable Protection
title_short How to Measure Whether Index Insurance Provides Reliable Protection
title_full How to Measure Whether Index Insurance Provides Reliable Protection
title_fullStr How to Measure Whether Index Insurance Provides Reliable Protection
title_full_unstemmed How to Measure Whether Index Insurance Provides Reliable Protection
title_sort how to measure whether index insurance provides reliable protection
publisher World Bank, Washington, DC
publishDate 2016
url http://documents.worldbank.org/curated/en/2016/07/26578448/measure-whether-index-insurance-provides-reliable-protection
http://hdl.handle.net/10986/24825
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