A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers

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cg.authorship.typesCGIAR single centreen
cg.coverage.countryUnited States
cg.coverage.iso3166-alpha2US
cg.coverage.regionNorthern America
cg.identifier.doihttps://doi.org/10.1111/agec.12124en
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.publicationRankA
cg.isijournalISI Journalen
cg.issn0169-5150en
cg.issue1en
cg.journalAgricultural Economicsen
cg.reviewStatusPeer Reviewen
cg.volume46en
dc.contributor.authorMa, Xingliangen
dc.contributor.authorShi, Guanmingen
dc.date.accessioned2024-08-01T02:54:07Zen
dc.date.available2024-08-01T02:54:07Zen
dc.identifier.urihttps://hdl.handle.net/10568/150872
dc.titleA dynamic adoption model with Bayesian learning: An application to U.S. soybean farmersen
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationMa, Xingliang; and Shi, Guanming. 2015. A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers. Agricultural Economics 46(1): 25-38. https://doi.org/10.1111/agec.12124en
dcterms.extentpp. 25-38en
dcterms.issued2015-01-01
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherWileyen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/4369en
dcterms.subjectagricultural technologyen
dcterms.subjecttechnology transferen
dcterms.subjectfarmersen
dcterms.subjectsoybeansen
dcterms.subjectinnovation adoptionen
dcterms.subjectstructural dynamicsen
dcterms.subjectgenetically modified organismsen
dcterms.subjectstructural changeen
dcterms.subjectbayesian theoryen
dcterms.subjectseed technologyen
dcterms.typeJournal Article

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