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A Test Of Bayesian Learning From Farmer Trials Of New Wheat Varieties

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  • Lindner, Robert K.
  • Gibbs, Melissa
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    Abstract

    In this study, elicited estimates of farmers' subjective beliefs about the mean and variance of wheat variety yields were used to test propositions about Bayesian learning developed in the recent literature on innovation adoption. A series of empirical tests of the Bayesian adoption model were conducted using beliefs elicited from farm surveys conducted in 1982, 1983 and 1984. The results of the analysis neither confirm nor reject the Bayesian approach as a model of how farmers revise subjective beliefs, but do raise serious doubts about its realism, and suggest some issues requiring further investigation. Shortcomings in the elicitation techniques are discussed and the assumptions of the Bayesian model are reviewed.

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    File URL: http://purl.umn.edu/22497
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    Bibliographic Info

    Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural Economics.

    Volume (Year): 34 (1990)
    Issue (Month): 01 (April)
    Pages:

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    Handle: RePEc:ags:ajaeau:22497

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    Keywords: Research Methods/ Statistical Methods;

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    Cited by:
    1. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    2. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    3. Kalogeras, Nikos & Pennings, Joost M.E. & Garcia, Philip, 2006. "What Drives Strategic Behavior? A Framework to Explain and Predict SMEs' Transition to Sustainable Production Systems," 2006 Annual meeting, July 23-26, Long Beach, CA 21354, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Nelson, R. A. & Holzworth, D. P. & Hammer, G. L. & Hayman, P. T., 2002. "Infusing the use of seasonal climate forecasting into crop management practice in North East Australia using discussion support software," Agricultural Systems, Elsevier, vol. 74(3), pages 393-414, December.
    5. Llewellyn, Rick S. & Lindner, Robert K. & Pannell, David J. & Powles, Stephen B., 2003. "Effective information and the influence of an extension event on perceptions and adoption," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57911, Australian Agricultural and Resource Economics Society.
    6. Abadi Ghadim, Amir K. & Pannell, David J., 1999. "A conceptual framework of adoption of an agricultural innovation," Agricultural Economics, Blackwell, vol. 21(2), pages 145-154, October.

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