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

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dc.creatorMa, Xingliang
dc.creatorShi, Guanming
dc.date2015-01-01
dc.date2024-08-01T02:54:07Z
dc.date2024-08-01T02:54:07Z
dc.date.accessioned2026-06-27T15:18:18Z
dc.identifierhttps://hdl.handle.net/10568/150872
dc.identifier.urihttp://hdl.handle.net/123456789/100558
dc.languageen
dc.publisherWiley
dc.rightsLimited Access
dc.sourceMa, 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.12124
dc.subjectagricultural technology
dc.subjecttechnology transfer
dc.subjectfarmers
dc.subjectsoybeans
dc.subjectinnovation adoption
dc.subjectstructural dynamics
dc.subjectgenetically modified organisms
dc.subjectstructural change
dc.subjectbayesian theory
dc.subjectseed technology
dc.titleA dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)