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An Evaluation of Outlook Information for Australian Agricultural Commodities

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  • Freebairn, John W.

Abstract

This paper reviews the literature on the production, dissemination and use made of market outlook information for agricultural commodities. It focuses on the requirements and demand for market outlook information, the level of accuracy of information currently available, of future prospective gains in accuracy, some estimates of the value of outlook information, and government participation in the supply of outlook information.

Suggested Citation

  • 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), pages 1-21, December.
    • Handle: RePEc:ags:remaae:10307
    DOI: 10.22004/ag.econ.10307
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    Cited by:

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    2. Andrew M. McKenzie & Jessica L. Darby, 2017. "Information Content of USDA Rice Reports and Price Reactions of Rice Futures," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 552-568, September.
    3. Olga Isengildina-Massa & Scott H. Irwin & Darrel L. Good & Jennifer K. Gomez, 2008. "Impact of WASDE reports on implied volatility in corn and soybean markets," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 473-490.
    4. Pluske, Johanna M. & Fraser, Rob W., 1995. "Can Producers Place Valid and Reliable Valuations on Wool Price-Risk Information?," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-8, August.
    5. Nelson, Rohan & Cameron, Andrew & Xia, Charley & Gooday, Peter, 2022. "The ABARES Approach to Forecasting Agricultural Commodity Markets," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(6), November.
    6. Lindner, Robert K., 1987. "Toward A Framework For Evaluating Agricultural Economics Research," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 1-17, August.
    7. Ates, Aaron M. & Lusk, Jayson L. & Brorsen, B. Wade, 2019. "Forecasting Meat Prices Using Consumer Expectations from the Food Demand Survey (FooDS)," Journal of Food Distribution Research, Food Distribution Research Society, vol. 50(1), March.
    8. Manfredo, Mark R. & Sanders, Dwight R., 2004. "The Value of Public Price Forecasts: Additional Evidence in the Live Hog Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 22(2), pages 1-13.
    9. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2008. "Accuracy and efficiency in the U.S. Department of Energy's short-term supply forecasts," Energy Economics, Elsevier, vol. 30(3), pages 1192-1207, May.
    10. Cameron, Andrew & Nelson, Rohan, 2022. "Enabling Users to Evaluate the Accuracy of ABARES Agricultural Forecasts," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(7), November.
    11. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
    12. Lindner, Bob, 1987. "Toward A Framework for Evaluating Agricultural Economics Research," Discussion Papers 315419, University of Western Australia, School of Agricultural and Resource Economics.
    13. Good, Darrel L. & Irwin, Scott H. & Isengildina, Olga, 2006. "The Value of USDA Situation and Outlook Information in Hog and Cattle Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-21, August.
    14. Lusk, Jayson L., 2016. "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).

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