Publication:
The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Contexts

dc.contributor.authorJosephson, Anna
dc.contributor.authorMichler, Jerey D.
dc.contributor.authorKilic, Talip
dc.contributor.authorMurray, Siobhan
dc.date.accessioned2025-01-08T16:51:17Z
dc.date.available2025-01-08T16:51:17Z
dc.date.issued2025-01-08
dc.description.abstractThe availability of weather data from remotely sensed Earth observation data has reduced the cost of including weather variables in econometric models. Weather variables are common instrumental variables used to predict economic outcomes and serve as an input in modeling crop yields for rainfed agriculture. The use of Earth observation data in econometric applications has only recently been met with critical assessment of the suitability and quality of these data in economics. This paper quantifies the significance and magnitude of the effect of measurement error in Earth observation data in the context of smallholder agricultural productivity. The paper shows that different Earth observation sources use different measurement methods. The findings are not robust to the choice of Earth observation dataset, and the outcomes are not simply affine transformations of one another. Thus, the paper suggests that researchers should exercise caution in using these data and include robustness checks that test alternative sources of Earth observation data.en
dc.identifierhttp://documents.worldbank.org/curated/en/099850401072516334/IDU16cb26542195d814cc21b3191ae81d19d57ec
dc.identifier.doi10.1596/1813-9450-11015
dc.identifier.urihttps://hdl.handle.net/10986/42636
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 11015
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectREMOTE SENSING DATA
dc.subjectSOCIOECONOMIC DATA
dc.subjectMEASUREMENT ERROR
dc.subjectWEATHER
dc.subjectSUB-SAHARAN AFRICA
dc.titleThe Mismeasure of Weatheren
dc.title.subtitleUsing Remotely Sensed Earth Observation Data in Economic Contextsen
dc.typeWorking Paper
dspace.entity.typePublication
okr.date.disclosure2025-01-08
okr.date.doiregistration2025-04-14T11:52:48.924117Z
okr.date.lastmodified2025-01-07T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099850401072516334/IDU16cb26542195d814cc21b3191ae81d19d57ec
okr.guid099850401072516334
okr.identifier.docmidIDU-6cb26542-95d8-4cc2-b319-ae81d19d57ec
okr.identifier.doi10.1596/1813-9450-11015
okr.identifier.externaldocumentum34443625
okr.identifier.internaldocumentum34443625
okr.identifier.reportWPS11015
okr.import.id6249
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099850401072516334/pdf/IDU16cb26542195d814cc21b3191ae81d19d57ec.pdfen
okr.region.geographicalWorld
okr.topicMacroeconomics and Economic Growth::Economic Modeling and Statistics
okr.topicInformation and Communication Technologies::Knowledge Management
okr.topicMacroeconomics and Economic Growth::Economic Development
okr.topicAgriculture::Agribusiness
okr.topicAgriculture::Agriculture & Farming Systems
okr.unitLiving Standards Measurement (DECLS)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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