Publication:
Missing(ness) in Action : Selectivity Bias in GPS-Based Land Area Measurements

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dc.contributor.authorKilic, Talip
dc.contributor.authorZezza, Alberto
dc.contributor.authorCarletto, Calogero
dc.contributor.authorSavastano, Sara
dc.date.accessioned2013-09-26T14:54:44Z
dc.date.available2013-09-26T14:54:44Z
dc.date.issued2013-06
dc.description.abstractLand area is a fundamental component of agricultural statistics, and of analyses undertaken by agricultural economists. While household surveys in developing countries have traditionally relied on farmers' own, potentially error-prone, land area assessments, the availability of affordable and reliable Global Positioning System (GPS) units has made GPS-based area measurement a practical alternative. Nonetheless, in an attempt to reduce costs, keep interview durations within reasonable limits, and avoid the difficulty of asking respondents to accompany interviewers to distant plots, survey implementing agencies typically require interviewers to record GPS-based area measurements only for plots within a given radius of dwelling locations. It is, therefore, common for as much as a third of the sample plots not to be measured, and research has not shed light on the possible selection bias in analyses relying on partial data due to gaps in GPS-based area measures. This paper explores the patterns of missingness in GPS-based plot areas, and investigates their implications for land productivity estimates and the inverse scale-land productivity relationship. Using Multiple Imputation (MI) to predict missing GPS-based plot areas in nationally-representative survey data from Uganda and Tanzania, the paper highlights the potential of MI in reliably simulating the missing data, and confirms the existence of an inverse scale-land productivity relationship, which is strengthened by using the complete, multiply-imputed dataset. The study demonstrates the usefulness of judiciously reconstructed GPS-based areas in alleviating concerns over potential measurement error in farmer-reported areas, and with regards to systematic bias in plot selection for GPS-based area measurement.en
dc.identifierhttp://documents.worldbank.org/curated/en/2013/06/17875976/missingness-action-selectivity-bias-gps-based-land-area-measurements
dc.identifier.doi10.1596/1813-9450-6490
dc.identifier.urihttps://hdl.handle.net/10986/15849
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 6490
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo/
dc.subjectAGRICULTURAL OUTPUT
dc.subjectAGRICULTURE
dc.subjectCOMMODITY
dc.subjectCOMPUTATION
dc.subjectCONFIDENCE INTERVALS
dc.subjectCOVARIANCE
dc.subjectCOVARIANCE MATRIX
dc.subjectDATA ANALYSES
dc.subjectDATA ANALYSIS
dc.subjectDATA COLLECTION
dc.subjectDATA ENTRY
dc.subjectDESCRIPTIVE STATISTICS
dc.subjectDEVELOPMENT ECONOMICS
dc.subjectDEVELOPMENT POLICY
dc.subjectDEVELOPMENT RESEARCH
dc.subjectDEVELOPMENT STRATEGIES
dc.subjectDOMAIN
dc.subjectDOMAINS
dc.subjectECONOMIC DEVELOPMENT
dc.subjectECONOMIC INEQUALITY
dc.subjectENUMERATION
dc.subjectEQUIPMENT
dc.subjectEXPERIMENTS
dc.subjectEXPLORATION
dc.subjectFIELD WORK
dc.subjectFINANCIAL RESOURCES
dc.subjectFINANCIAL SUPPORT
dc.subjectGLOBAL POSITIONING SYSTEM
dc.subjectGPS
dc.subjectGROSS VALUE
dc.subjectHUMAN RESOURCES
dc.subjectHYPOTHESIS TESTING
dc.subjectIMPLEMENTING AGENCIES
dc.subjectIMPUTATION METHOD
dc.subjectIMPUTATION METHODS
dc.subjectIMPUTATION PROCESS
dc.subjectIMPUTATIONS
dc.subjectINCOME
dc.subjectINDEPENDENT VARIABLES
dc.subjectINNOVATION
dc.subjectLINEAR PREDICTION
dc.subjectLINEAR REGRESSION
dc.subjectLIVING STANDARDS
dc.subjectMEASUREMENT ERRORS
dc.subjectMISSING DATA
dc.subjectMISSING OBSERVATIONS
dc.subjectMISSING VALUE
dc.subjectMISSING VALUES
dc.subjectMULTIPLE IMPUTATION
dc.subjectOPEN ACCESS
dc.subjectOPPORTUNITY COSTS
dc.subjectPOLITICAL ECONOMY
dc.subjectPRECISION
dc.subjectPREDICTIONS
dc.subjectPROBABILITY
dc.subjectPRODUCTION FUNCTION
dc.subjectPRODUCTIVITY
dc.subjectPROPERTY RIGHTS
dc.subjectPROTOCOL
dc.subjectPROTOCOLS
dc.subjectQUALITY CONTROL
dc.subjectQUESTIONNAIRES
dc.subjectRESEARCH METHODS
dc.subjectRESEARCH REPORT
dc.subjectRESEARCH WORKING PAPERS
dc.subjectRESEARCHERS
dc.subjectRESULT
dc.subjectRESULTS
dc.subjectSAMPLE SIZE
dc.subjectSAMPLE SURVEYS
dc.subjectSATELLITE
dc.subjectSCIENCES
dc.subjectSENSITIVITY ANALYSIS
dc.subjectSIMULATIONS
dc.subjectSOFTWARE PACKAGES
dc.subjectSTANDARD ERRORS
dc.subjectSTANDARD MEASUREMENT
dc.subjectSTATA
dc.subjectSTATISTICAL ANALYSES
dc.subjectSTATISTICAL INFERENCE
dc.subjectSTATISTICAL TECHNIQUES
dc.subjectSTATISTICIANS
dc.subjectSUPERVISION
dc.subjectSURPLUS LABOR
dc.subjectSURVEY DATA
dc.subjectSURVEY DESIGN
dc.subjectSURVEYORS
dc.subjectTECHNOLOGICAL INNOVATIONS
dc.subjectTOTAL FACTOR PRODUCTIVITY
dc.subjectTOTAL OUTPUT
dc.subjectTRANSITION ECONOMY
dc.subjectUSE VALUE
dc.subjectUSERS
dc.subjectVALIDITY
dc.subjectVALUE OF OUTPUT
dc.subjectVARIABILITY
dc.subjectWEALTH
dc.subjectWEB
dc.subjectWEIGHTING
dc.subjectland area measurement
dc.subjectland productivity
dc.titleMissing(ness) in Action : Selectivity Bias in GPS-Based Land Area Measurementsen
dspace.entity.typePublication
okr.crossref.titleMissing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements
okr.date.disclosure2013-06-07
okr.date.doiregistration2025-04-10T11:47:51.762365Z
okr.doctypePublications & Research::Policy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/2013/06/17875976/missingness-action-selectivity-bias-gps-based-land-area-measurements
okr.globalpracticeMacroeconomics and Fiscal Management
okr.globalpracticeEducation
okr.globalpracticeTransport and ICT
okr.globalpracticeTransport and ICT
okr.globalpracticeTrade and Competitiveness
okr.guid761781468309298344
okr.identifier.doi10.1596/1813-9450-6490
okr.identifier.externaldocumentum000158349_20130617145615
okr.identifier.internaldocumentum17875976
okr.identifier.reportWPS6490
okr.language.supporteden
okr.pdfurlhttp://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2013/06/17/000158349_20130617145615/Rendered/PDF/WPS6490.pdfen
okr.region.administrativeAfrica
okr.topicPrivate Sector Development::E-Business
okr.topicStatistical and Mathematical Sciences
okr.topicScience Education
okr.topicEconomic Theory and Research
okr.topicScientific Research and Science Parks
okr.topicEducation
okr.topicScience and Technology Development
okr.topicMacroeconomics and Economic Growth
okr.unitPoverty and Inequality Team, Development Research Group (DECRG)
okr.volume1 of 1
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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