TOWARD A FRAMEWORK FOR EVALUATING AGRICULTURAL ECONOMICS RESEARCH

dc.creatorLindner, Robert K.
dc.date2017-04-01T19:44:39Z
dc.date.accessioned2026-07-09T03:39:43Z
dc.descriptionAgricultural economists need to evaluate their own research priorities. The main difficulty in doing so is to value the types of information generated by economic research. Bayesian decision theory provides a framework for valuing information, and the results of selected studies using this methodology are collated. Most of the other determinants of research priorities can be encapsulated in a target return ratio measure. How such a framework might be used is illustrated by three 'hypotheticals'.
dc.identifierdoi:10.22004/ag.econ.22453
dc.identifierhttps://ageconsearch.umn.edu/record/22453/files/31020095.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/22453
dc.identifier.urihttp://hdl.handle.net/123456789/537769
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/22453
dc.titleTOWARD A FRAMEWORK FOR EVALUATING AGRICULTURAL ECONOMICS RESEARCH
dc.typeText

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