Land Measurement Bias and Its Empirical Implications

Vista sencilla de ítem
dc.creatorDillon, Andrew
dc.creatorGourlay, Sydney
dc.creatorMcGee, Kevin
dc.creatorOseni, Gbemisola
dc.date2016-04-26T15:53:41Z
dc.date2016-04-26T15:53:41Z
dc.date2016-03
dc.date.accessioned2026-07-01T00:48:46Z
dc.descriptionThis 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.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://documents.worldbank.org/curated/en/2016/03/26067878/land-measurement-bias-empirical-implications-evidence-validation-exercise
dc.identifierhttps://hdl.handle.net/10986/24141
dc.identifier10.1596/1813-9450-7597
dc.identifier.urihttp://hdl.handle.net/123456789/411382
dc.languageEnglish
dc.languageen_US
dc.publisherWorld Bank, Washington, DC
dc.relationPolicy Research Working Paper;No. 7597
dc.rightsCC BY 3.0 IGO
dc.rightshttp://creativecommons.org/licenses/by/3.0/igo/
dc.rightsWorld Bank
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 Implications
dc.titleEvidence from a Validation Exercise
dc.typeWorking Paper
dc.typeDocument de travail
dc.typeDocumento de trabajo

Archivos

Colecciones

AgroKnow