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dc.contributor.authorAbay, K.A.
dc.contributor.authorAssfaw Wossen, T.
dc.contributor.authorAbate, G.T.
dc.contributor.authorStevenson, J.R.
dc.contributor.authorMichelson, H.
dc.contributor.authorBarrett, C.B.
dc.date.accessioned2023-11-02T10:47:53Z
dc.date.available2023-11-02T10:47:53Z
dc.date.issued2023-10
dc.identifier.citationAbay, K.A., Assfaw Wossen, T., Abate, G.T., Stevenson, J.R., Michelson, H. & Barrett, C.B. (2023). Inferential and behavioral implications of measurement error in agricultural data. Annual Review of Resource Economics, 15, 63-83.
dc.identifier.issn1941-1340
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8330
dc.description.abstractAn evolving literature evaluates the inferential and behavioral implications of measurement error (ME) in agricultural data. We synthesize findings on the nature and sources of ME and potential remedies. We provide practical guidance for choosing among alternative approaches for detecting, obviating, or correcting for alternative sources of ME, as these have different behavioral and inferential implications. Some ME biases statistical inference and thus may require econometric correction. Other types of ME may affect (and shed light on) farmers’ decision-making processes even if farmers’ responses are objectively incorrect. Where feasible, collecting both self-reported and objectively measured data for the same variable may enrich understanding of policy-relevant agricultural and behavioral phenomena.
dc.format.extent63–83
dc.language.isoen
dc.subjectAgriculture
dc.subjectBehaviour
dc.subjectData
dc.subjectData Analysis
dc.subjectDecision Making
dc.subjectFarmers
dc.subjectStatistics
dc.titleInferential and behavioral implications of measurement error in agricultural data
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.crpPolicies, Institutions and Markets
cg.contributor.affiliationInternational Food Policy Research Institute
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationCGIAR Standing Panel on Impact Assessment
cg.contributor.affiliationUniversity of Illinois
cg.contributor.affiliationCornell University
cg.coverage.hubEastern Africa Hub
cg.researchthemeSocial Science and Agribusiness
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgribusiness
cg.iitasubjectKnowledge Management
cg.iitasubjectLivelihoods
cg.iitasubjectResearch Method
cg.iitasubjectSmallholder Farmers
cg.journalAnnual Review of Resource Economics
cg.notesOpen Access Article
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1146/annurev-resource-101422-090049
cg.iitaauthor.identifierTesfamicheal Wossen Assfaw: 0000-0002-3672-2676
cg.futureupdate.requiredNo
cg.identifier.volume15


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