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Could the Debate Be Over?: Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda

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dc.contributor.authorGourlay, Sydney
dc.contributor.authorKilic, Talip
dc.contributor.authorLobell, David
dc.date.accessioned2017-09-21T19:54:58Z
dc.date.available2017-09-21T19:54:58Z
dc.date.issued2017-09
dc.description.abstractBased on a two-round household panel survey conducted in Eastern Uganda, this study shows that the analysis of the inverse scale-productivity relationship is highly sensitive to how plot-level maize production, hence yield (production divided by GPS-based plot area), is measured. Although farmer-reported production-based plot-level maize yield regressions consistently lend support to the inverse scale-productivity relationship, the comparable regressions estimated with maize yields based on sub-plot crop cutting, full-plot crop cutting, and remote sensing point toward constant returns to scale, at the mean as well as throughout the distributions of objective measures of maize yield. In deriving the much-debated coefficient for GPS-based plot area, the maize yield regressions control for objective measures of soil fertility, maize genetic heterogeneity, and edge effects at the plot level; a rich set of plot, household, and plot manager attributes; as well as time-invariant household- and parcel-level unobserved heterogeneity in select specifications that exploit the panel nature of the data. The core finding is driven by persistent overestimation of farmer-reported maize production and yield vis-à-vis their crop cutting–based counterparts, particularly in the lower half of the plot area distribution. Although the results contribute to a larger, and renewed, body of literature questioning the inverse scale-productivity relationship based on omitted explanatory variables or alternative formulations of the agricultural productivity measure, the paper is among the first documenting how the inverse relationship could be a statistical artifact, driven by errors in farmer-reported survey data on crop production.en
dc.identifierhttp://documents.worldbank.org/curated/en/242721505231101959/Could-the-debate-be-over-errors-in-farmer-reported-production-and-their-implications-for-the-inverse-scale-productivity-relationship-in-Uganda
dc.identifier.doi10.1596/1813-9450-8192
dc.identifier.urihttps://hdl.handle.net/10986/28369
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 8192
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectAGRICULTURAL PRODUCTIVITY
dc.subjectMAIZE
dc.subjectYIELD MEASUREMENT
dc.subjectPLOT AREA MEASUREMENT
dc.subjectINVERSE SCALE-PRODUCTIVITY RELATIONSHIP
dc.subjectCROP CUTTING
dc.subjectREMOTE SENSING
dc.subjectHOUSEHOLD SURVEYS
dc.titleCould the Debate Be Over?en
dc.title.subtitleErrors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Ugandaen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleCould the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda
okr.date.disclosure2017-09-12
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/242721505231101959/Could-the-debate-be-over-errors-in-farmer-reported-production-and-their-implications-for-the-inverse-scale-productivity-relationship-in-Uganda
okr.guid242721505231101959
okr.identifier.doi10.1596/1813-9450-8192
okr.identifier.externaldocumentum090224b084f97709_1_0
okr.identifier.internaldocumentum27973632
okr.identifier.reportWPS8192
okr.importedtrue
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/242721505231101959/pdf/WPS8192.pdfen
okr.region.administrativeAfrica
okr.region.countryUganda
okr.statistics.combined6357
okr.statistics.dr242721505231101959
okr.statistics.drstats5731
okr.topicAgriculture::Agricultural Knowledge & Information Systems
okr.topicAgriculture::Agricultural Sector Economics
okr.topicAgriculture::Crops & Crop Management Systems
okr.unitDevelopment Data Group, Development Economics
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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