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

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    Authors
    Assfaw Wossen, Tesfamicheal
    Abdoulaye, Tahirou
    Alene, A.
    Nguimkeu, P.
    Feleke, S.
    Rabbi, Ismail Y.
    Haile, M.G.
    Manyong, Victor M.
    Date Issued
    2019-01
    Date Online
    2018-04
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Limited Access
    Metadata
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    Citation
    Wossen, 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
    Permanent link to cite or share this item: https://hdl.handle.net/10568/96132
    DOI: https://doi.org/10.1093/ajae/aay017
    Abstract/Description
    This 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.
    CGIAR Author ORCID iDs
    Tesfamicheal Wossen Assfawhttps://orcid.org/0000-0002-3672-2676
    Tahirou Abdoulayehttps://orcid.org/0000-0002-8072-1363
    Arega Alenehttps://orcid.org/0000-0002-2491-4603
    Shiferaw Felekehttps://orcid.org/0000-0002-0759-4070
    Ismail Rabbihttps://orcid.org/0000-0001-9966-2941
    Victor Manyonghttps://orcid.org/0000-0003-2477-7132
    Other CGIAR Affiliations
    Roots, Tubers and Bananas
    AGROVOC Keywords
    cassava; misclassification; adoption; technology; dna fingerprinting
    Subjects
    AGRIBUSINESS; IMPACT ASSESSMENT; PLANT BREEDING
    Countries
    Nigeria
    Regions
    Africa; Western Africa
    Organizations Affiliated to the Authors
    International Institute of Tropical Agriculture; Georgia State University; World Bank
    Collections
    • IITA Journal Articles [4925]
    • RTB Journal Articles [1333]

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