Toward A Framework For Evaluating Agricultural Economics Research
Agricultural 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'.
Volume (Year): 31 (1987)
Issue (Month): 02 (August)
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UCLA Economics Working Papers
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- Peter Bardsley & M. Harris, 1987.
"An Approach To The Econometric Estimation Of Attitudes To Risk In Agriculture,"
Australian Journal of Agricultural and Resource Economics,
Australian Agricultural and Resource Economics Society, vol. 31(2), pages 112-126, 08.
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- Solow, Robert M, 1974. "The Economics of Resources or the Resources of Economics," American Economic Review, American Economic Association, vol. 64(2), pages 1-14, May.
- Freebairn, John W., 1978. "An Evaluation of Outlook Information for Australian Agricultural Commodities," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 46(03), December.
- Hayami, Yujiro & Peterson, Willis, 1972. "Social Returns to Public Information Services: Statistical Reporting of U. S. Farm Commodities," American Economic Review, American Economic Association, vol. 62(1), pages 119-130, March.
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