Show simple item record

Estimating the productivity impacts of technology adoption in the presence of misclassification

dc.contributor.authorAssfaw Wossen, T.
dc.contributor.authorAbdoulaye, Tahirou
dc.contributor.authorAlene, A.
dc.contributor.authorNguimkeu, P.
dc.contributor.authorFeleke, S.
dc.contributor.authorRabbi, I.Y.
dc.contributor.authorHaile, M.G.
dc.contributor.authorManyong, Victor M.
dc.date.accessioned2019-12-04T11:21:43Z
dc.date.available2019-12-04T11:21:43Z
dc.date.issued2018-04-16
dc.identifier.citationWossen, T., Abdoulaye, T., Alene, A., Nguimkeu, P., Feleke, S., Rabbi, I.Y., ... & Manyong, V. (2018). Estimating the productivity impacts of technology adoption in the presence of misclassification. American Journal of Agricultural Economics. 1-16
dc.identifier.issn1467-8276
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3861
dc.description.abstractThis article examines the impact that misreporting adoption status has on the identification and estimation of causal effects on productivity. In particular, by comparing measurement error-ridden self-reported adoption data with measurement-error-free DNA-fingerprinted adoption data, we investigate the extent to which such errors bias the causal effects of adoption on productivity. Taking DNA-fingerprinted adoption data as a benchmark, we find 25% “false negatives” and 10% “false positives” in farmers’ responses. Our results show that misreporting of adoption status is not exogenous to household characteristics, and produces a bias of about 22 percentage points in the productivity impact of adoption. Ignoring inherent behavioral adjustments of farmers based on perceived adoption status has a bias of 13 percentage points. The results of this article underscore the crucial role that correct measurement of adoption plays in designing policy interventions that address constraints to technology adoption in agriculture.
dc.format.extent1-16
dc.language.isoen
dc.subjectCassava
dc.subjectMisclassification
dc.subjectAdoption
dc.subjectTechnology
dc.subjectDna Fingerprinting
dc.titleEstimating the productivity impacts of technology adoption in the presence of misclassification
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationGeorgia State University
cg.contributor.affiliationWorld Bank
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.creator.identifierTesfamicheal Wossen Assfaw: 0000-0002-3672-2676
cg.creator.identifierTahirou Abdoulaye: 0000-0002-8072-1363
cg.creator.identifierArega Alene: 0000-0002-2491-4603
cg.creator.identifierShiferaw Feleke: 0000-0002-0759-4070
cg.creator.identifierIsmail Rabbi: 0000-0001-9966-2941
cg.creator.identifierVictor Manyong: 0000-0003-2477-7132
cg.researchthemeBIOTECH & PLANT BREEDING
cg.researchthemeSOCIAL SCIENCE & AGRIBUSINESS
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgribusiness
cg.iitasubjectImpact Assessment
cg.iitasubjectPlant Breeding
cg.journalAmerican Journal of Agricultural Economics
cg.howpublishedFormally Published
cg.accessibilitystatusLimited Access
local.dspaceid96700
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1093/ajae/aay017


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record