Publication:
Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

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dc.contributor.authorCarletto, Calogero
dc.contributor.authorDillon, Andrew
dc.contributor.authorZezza, Alberto
dc.date.accessioned2021-08-05T13:00:04Z
dc.date.available2021-08-05T13:00:04Z
dc.date.issued2021-07
dc.description.abstractAdvances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integrated data sources, researchers face trade-offs in survey design that may reduce measurement error or increase coverage. This paper first reviews the econometric and survey methodology literatures that focus on the sources of measurement error and coverage bias in agricultural data collection. Second, it provides examples of how agricultural data structure affects testable empirical models. Finally, it reviews the challenges and opportunities offered by technological innovation to meet old and new data demands and address key empirical questions, focusing on the scalable data innovations of greatest potential impact for empirical methods and research.en
dc.identifierhttp://documents.worldbank.org/curated/en/751081627578468610/Agricultural-Data-Collection-to-Minimize-Measurement-Error-and-Maximize-Coverage
dc.identifier.doi10.1596/1813-9450-9745
dc.identifier.urihttps://hdl.handle.net/10986/36056
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 9745
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectAGRICULTURE
dc.subjectSURVEY DESIGN
dc.subjectDATA COLLECTION
dc.titleAgricultural Data Collection to Minimize Measurement Error and Maximize Coverageen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleAgricultural Data Collection to Minimize Measurement Error and Maximize Coverage
okr.date.disclosure2021-07-29
okr.date.doiregistration2025-04-10T10:59:14.005186Z
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/751081627578468610/Agricultural-Data-Collection-to-Minimize-Measurement-Error-and-Maximize-Coverage
okr.guid751081627578468610
okr.identifier.doi10.1596/1813-9450-9745
okr.identifier.externaldocumentum090224b088849ec4_2_0
okr.identifier.internaldocumentum33304876
okr.identifier.reportWPS9745
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/751081627578468610/pdf/Agricultural-Data-Collection-to-Minimize-Measurement-Error-and-Maximize-Coverage.pdfen
okr.topicAgriculture::Agricultural Knowledge & Information Systems
okr.topicAgriculture::Agricultural Research
okr.topicAgriculture::Agricultural Sector Economics
okr.unitDevelopment Data Group, Development Economics
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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