The creation of a household resilience index using limited data from the IGAD region

cg.contactbusbyj@mail.utexas.eduen_US
cg.contributor.centerThe University of Texas at Austinen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderUnited States Agency for International Development - USAIDen_US
cg.contributor.projectTechnical Consortium for Resilience in the HOAen_US
cg.contributor.project-lead-instituteInternational Livestock Research Institute - ILRIen_US
cg.coverage.countryDJen_US
cg.coverage.countryETen_US
cg.coverage.countryKEen_US
cg.coverage.countrySOen_US
cg.coverage.countryUGen_US
cg.coverage.countrySDen_US
cg.coverage.countrySSen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionNorthern Africaen_US
cg.subject.agrovocdroughten_US
cg.subject.agrovocresilienceen_US
dc.contributorSmith, Todden_US
dc.creatorBusby, Joshuaen_US
dc.date.accessioned2017-01-05T19:43:38Z
dc.date.available2017-01-05T19:43:38Z
dc.description.abstractGiven that data in the Horn of Africa is limited, one is more likely to obtain relatively complete data when using a model comprised of a more limited set of targeted indicators. In this way, a model of resilience should be as parsimonious as possible in providing the most value, given its purpose, with the least amount of inputs. Furthermore, if the goal is to periodically update the model’s index to evaluate changes over time, one needs to have access to data that are collected regularly (or that could conceivably be collected regularly). With these considerations in mind, the construction of a narrower and focused Household Resilience Index that captures a measure of human well-being is recommended as an alternative to a more complex, composite index for use in resilience M&E. This report shows how such an index can be readily created for most of East Africa using available data, that is robust to alternative specifications. It also details how multiples waves of data for Uganda, Kenya, and Ethiopia allow one to create a time-series measure of change at the sub-national level in those three countries. For those requiring a more complex measure of resilience, a review of FEWSNET’s acute food insecurity methodology and their newly released chronic food insecurity scale is provided.en_US
dc.formatPDFen_US
dc.identifierhttps://cgspace.cgiar.org/handle/handle.net/10568/65216en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/kKdYRKMY/v/d9b7104ffb93a257033eade9f1e9ae92en_US
dc.identifier.citationJoshua Busby, Todd Smith. (30/11/2014). The creation of a household resilience index using limited data from the IGAD region. Nairobi, Kenya: The University of Texas at Austin.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5324
dc.languageenen_US
dc.publisherThe University of Texas at Austinen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceReport 6 (2014)en_US
dc.subjectgeodataen_US
dc.titleThe creation of a household resilience index using limited data from the IGAD regionen_US
dc.typeReporten_US
dcterms.available2014-11-30en_US
mel.project.openhttps://mel.cgiar.org/projects/62en_US

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