Learning from Self and Learning from Others

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dc.creatorKondylis, Florence
dc.creatorLoeser, John Ashton
dc.creatorMobarak, Mushfiq
dc.creatorJones, Maria Ruth
dc.creatorStein, Daniel
dc.date2023-08-16T20:28:44Z
dc.date2023-08-16T20:28:44Z
dc.date2023-08-16
dc.date.accessioned2026-07-01T00:33:51Z
dc.descriptionCan decentralizing demonstration accelerate learning about new technologies This paper randomizes access to a fixed demonstration kit for new flood-saline-resilient seeds across villages in Bangladesh, with demonstration either by a single farmer or spread across many farmers. In the short run, higher learning from self and others under decentralization increases technology adoption. In the long run, the impacts of any demonstration persist, but the additional impacts of decentralization vanish. A Bayesian model of learning the returns to a new technology suggests belief dispersion caused noisy adoption along the learning path, and farmers’ expected gains from demonstration are four times higher under decentralization.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://documents.worldbank.org/curated/en/099859108102328324/IDU01b511bf60206204197098e30c0ea53ab56d1
dc.identifierhttps://openknowledge.worldbank.org/handle/10986/40221
dc.identifier10.1596/1813-9450-10545
dc.identifier.urihttp://hdl.handle.net/123456789/406201
dc.languageEnglish
dc.languageen
dc.publisherWorld Bank, Washington, DC
dc.relationPolicy Research Working Papers; 10545
dc.rightsCC BY 3.0 IGO
dc.rightshttps://creativecommons.org/licenses/by/3.0/igo/
dc.rightsWorld Bank
dc.subjectAGRICULTURAL EXTENSION
dc.subjectDEMONSTRATION PLOT
dc.subjectSALINE-RESISTANT SEED
dc.subjectAGRICULTURAL TECHNOLOGY ADOPTION
dc.subjectBAYESIAN LEARNING MODEL
dc.subjectTEACHING FARM METHODS
dc.titleLearning from Self and Learning from Others
dc.titleExperimental Evidence from Bangladesh
dc.typeWorking Paper

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