Publication:
Land Measurement Bias and Its Empirical Implications: Evidence from a Validation Exercise

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dc.contributor.authorDillon, Andrew
dc.contributor.authorGourlay, Sydney
dc.contributor.authorMcgee, Kevin
dc.contributor.authorOseni, Gbemisola
dc.date.accessioned2016-04-26T15:53:41Z
dc.date.available2016-04-26T15:53:41Z
dc.date.issued2016-03
dc.description.abstractThis paper investigates how land size measurements vary across three common land measurement methods (farmer estimated, Global Positioning System (GPS), and compass and rope), and the effect of land size measurement error on the inverse farm size relationship and input demand functions. The analysis utilizes plot-level data from the second wave of the Nigeria General Household Survey Panel, as well as a supplementary land validation survey covering a subsample of General Household Survey Panel plots. Using this data, both GPS and self-reported farmer estimates can be compared with the gold standard compass and rope measurements on the same plots. The findings indicate that GPS measurements are more reliable than farmer estimates, where self-reported measurement bias leads to over-reporting land sizes of small plots and under-reporting of large plots. The error observed across land measurement methods is nonlinear and results in biased estimates of the inverse land size relationship. Input demand functions that rely on self-reported land measures significantly underestimate the effect of land on input utilization, including fertilizer and household labor.en
dc.identifierhttp://documents.worldbank.org/curated/en/2016/03/26067878/land-measurement-bias-empirical-implications-evidence-validation-exercise
dc.identifier.doi10.1596/1813-9450-7597
dc.identifier.urihttps://hdl.handle.net/10986/24141
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 7597
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo/
dc.subjectMETHODS
dc.subjectTECHNOLOGY
dc.subjectTRANSACTION
dc.subjectRELIABILITY
dc.subjectEQUIPMENT
dc.subjectCALIBRATION
dc.subjectINTERVIEWS
dc.subjectPRODUCTION
dc.subjectTIME
dc.subjectRESULTS
dc.subjectRESEARCH WORKING PAPERS
dc.subjectVALIDITY
dc.subjectFAMILY
dc.subjectAGE
dc.subjectAGRICULTURAL PRODUCTION
dc.subjectGPS
dc.subjectDATA COLLECTION
dc.subjectINFORMATION
dc.subjectEXAMINATIONS
dc.subjectSTANDARD MEASUREMENT
dc.subjectSCALE OF PRODUCTION
dc.subjectAGRICULTURAL INNOVATION
dc.subjectMONITORING
dc.subjectRESEARCHERS
dc.subjectAGRICULTURE
dc.subjectEFFECTS
dc.subjectMEASUREMENT ERRORS
dc.subjectNATURAL RESOURCES MANAGEMENT
dc.subjectSAMPLES
dc.subjectAGRICULTURAL ECONOMICS
dc.subjectSIZE
dc.subjectMEASUREMENT
dc.subjectMEASUREMENTS
dc.subjectPRICE
dc.subjectHUMAN ERROR
dc.subjectSURVEYS
dc.subjectECONOMICS
dc.subjectMEASURES
dc.subjectMANAGEMENT
dc.subjectREGRESSION ANALYSIS
dc.subjectOPEN ACCESS
dc.subjectSATELLITE
dc.subjectRESULT
dc.subjectWEIGHT
dc.subjectECONOMIC DEVELOPMENT
dc.subjectKNOWLEDGE
dc.subjectEMPIRICAL ANALYSIS
dc.subjectLAND
dc.subjectSTANDARD UNITS
dc.subjectESTIMATING
dc.subjectSPACE
dc.subjectEDUCATION
dc.subjectMEASURING
dc.subjectMETHODOLOGIES
dc.subjectMETERS
dc.subjectTESTS
dc.subjectSAMPLING
dc.subjectEXPERIMENTS
dc.subjectLENGTH
dc.subjectGLOBAL POSITIONING SYSTEM
dc.subjectINNOVATION
dc.subjectSURVEY DESIGN
dc.subjectSURVEY DATA
dc.subjectPRODUCTIVITY
dc.subjectECONOMETRICS
dc.subjectPRECISION
dc.subjectOBSERVATION
dc.subjectESTIMATES
dc.subjectMAGNITUDE
dc.subjectINDICATORS
dc.subjectRESEARCH
dc.subjectAGRICULTURAL
dc.subjectUNITS
dc.subjectMETHODOLOGY
dc.subjectSTANDARDS
dc.subjectTECHNOLOGIES
dc.subjectFARMERS
dc.subjectNATURAL RESOURCES
dc.subjectWEIGHTS
dc.subjectCROPS
dc.subjectTESTING
dc.subjectACCURACY
dc.titleLand Measurement Bias and Its Empirical Implicationsen
dc.title.subtitleEvidence from a Validation Exerciseen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleLand Measurement Bias and its Empirical Implications: Evidence from a Validation Exercise
okr.date.disclosure2016-03-14
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/2016/03/26067878/land-measurement-bias-empirical-implications-evidence-validation-exercise
okr.guid258851468197930768
okr.identifier.doi10.1596/1813-9450-7597
okr.identifier.externaldocumentum090224b0841fc07f_1_0
okr.identifier.internaldocumentum26067878
okr.identifier.reportWPS7597
okr.importedtrue
okr.language.supporteden
okr.pdfurlhttp://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2016/03/14/090224b0841fc07f/1_0/Rendered/PDF/Land0measureme00validation0exercise.pdfen
okr.region.administrativeAfrica
okr.region.countryNigeria
okr.topicRural Development::Rural Land Policies for Poverty Reduction
okr.topicRural Development::Rural Development Knowledge & Information Systems
okr.topicAgriculture::Agricultural Knowledge & Information Systems
okr.unitDevelopment Data Group, Surveys and Methods Team
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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