IDEAS home Printed from https://ideas.repec.org/r/eee/intfor/v10y1994i1p81-135.html
   My bibliography  Save this item

Economic forecasting in agriculture

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mikkel Bojesen & Hans Skov-Petersen & Morten Gylling, 2013. "Forecasting the potential of Danish biogas production: spatial representation of Markov chains," IFRO Working Paper 2013/16, University of Copenhagen, Department of Food and Resource Economics.
  2. Carl R. Zulauf & Scott H. Irwin, 1998. "Market Efficiency and Marketing to Enhance Income of Crop Producers," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(2), pages 308-331.
  3. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip, 2009. "Do Composite Procedures Really Improve the Accuracy of Outlook Forecasts?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53052, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  4. Kotevska, Ana & Dimitrievski, Dragi & Erjavec, Emil, 2013. "Partial Equilibrium Model As A Tool For Policy Analysis In Agriculture: An Empirical Evidence Of Macedonia," 50th Anniversary Seminar, Agriculture and Rural Development -Challenges of Transition and Integration Processes, September 27, 2013 161772, University of Belgrade, Department of Agricultural Economics, Faculty of Agriculture.
  5. Xie, Hua & You, Liangzhi & Dile, Yihun T. & Worqlul, Abeyou W. & Bizimana, Jean-Claude & Srinivasan, Raghavan & Richardson, James W. & Gerik, Thomas & Clark, Neville, 2021. "Mapping development potential of dry-season small-scale irrigation in Sub-Saharan African countries under joint biophysical and economic constraints - An agent-based modeling approach with an applicat," Agricultural Systems, Elsevier, vol. 186(C).
  6. Dietz, Sarah N. & Aulerich, Nicole M. & Irwin, Scott H. & Good, Darrel L., 2009. "The Marketing Performance of Illinois and Kansas Wheat Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-15, April.
  7. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
  8. Vere, David T. & Griffith, Garry R., 2003. "Integrating Econometric Models of Australia's Livestock Industries: Implications for Forecasting and Other Economic Analyses," Working Papers 12916, University of New England, School of Economics.
  9. Iuliana IONEL, 2018. "Romanian Pigmeat From The Perspective Of International Forecasts," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 15(2), pages 209-218.
  10. Manojit Chattopadhyay & Subrata Kumar Mitra, 2018. "Assessing the predictability of different kinds of models in estimating impacts of climatic factors on food grain availability in India," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 50-64, March.
  11. Covey, Theodore & Erickson, Kenneth W., 2003. "Evaluating USDA Forecasts of Farm Assets: 1986-2002," 2003 Regional Committee NCT-194, October 6-7, 2003; Kansas City, Missouri 132405, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
  12. Olga Isengildina Massa & Berna Karali & Scott H. Irwin, 2024. "What do we know about the value and market impact of the US Department of Agriculture reports?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 698-736, June.
  13. Gutierrez, Luciano & Piras, Francesco & Olmeo, Maria Grazia, 2015. "Forecasting Wheat Commodity Prices using a Global Vector Autoregressive model," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207264, Italian Association of Agricultural and Applied Economics (AIEAA).
  14. Eduardo López E. & Francisco Meneses P. & Felipe Córdova F. & M. Carolina Grünwald N., 2008. "Comportamiento del Precio Internacional de Granos Seleccionados y su Impacto en la Inflación," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(1), pages 119-129, April.
  15. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
  16. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
  17. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
  18. Hloušková, Z. & Lekešová, M. & Slížka, E., 2014. "Microsimulation Model Estimating Czech Farm Income from Farm Accountancy Data Network Database," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-11, September.
  19. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip & Etienne, Xiaoli, 2012. "Composite and Outlook Forecast Accuracy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-19, August.
  20. Pokorný, Jiří & Froněk, Pavel, 2021. "Price Forecasting Accuracy of the OECD-FAO's Agricultural Outlook and the European Commission DG AGRI's Medium-Term Agricultural Outlook Report," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
  21. MAWANGA Freddie Festo, 2017. "Investigating A Random Walk In Air Cargo Exports Of Fresh Agricultural Products: Evidence From A Developing Country," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 129-140, April.
  22. Pruitt, J. Ross & Tonsor, Glynn T. & Brooks, Kathleen R. & Johnson, Rachel J., 2013. "End User Preferences for USDA Market Information," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143007, Southern Agricultural Economics Association.
  23. Hansen, Bjørn Gunnar & Li, Yushu, 2015. "Future world market prices of milk and feed looking into the crystal ball," Discussion Papers 2015/17, Norwegian School of Economics, Department of Business and Management Science.
  24. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
  25. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
  26. Hedtrich, F. & Loy, J.-P. & Müller, R.A.E., 2010. "Prognosen auf Agrarmärkten: Prediction Markets – eine innovative Prognosemethode auch für die Landwirtschaft?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
  27. Guney, Selin, 2015. "An evaluation of price forecasts of the cattle market under structural changes," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205109, Agricultural and Applied Economics Association.
  28. Ribeiro, Celma O. & Oliveira, Sydnei M., 2011. "A hybrid commodity price-forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-19.
  29. Bjørn Gunnar Hansen & Yushu Li, 2017. "An Analysis of Past World Market Prices of Feed and Milk and Predictions for the Future," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 175-193, April.
  30. 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.
  31. Yang, Yao & Karali, Berna, 2022. "The Role of USDA Reports on Extreme Volatility Coexceedances: An Application to the Soybean Complex," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322104, Agricultural and Applied Economics Association.
  32. Li, Anzhi & Dorfman, Jeffrey H., 2014. "Composite Qualitative Forecasting of Futures Prices: Using One Commodity to Help Forecast Another," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169790, Agricultural and Applied Economics Association.
  33. Aleksandra Kowalska & Milena Bieniek, 2022. "Meeting the European green deal objective of expanding organic farming," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 607-633, September.
  34. Taylor, Christopher W., 2012. "Market Reactions to USDA Reports: State Analysis of Corn Price Response," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124661, Agricultural and Applied Economics Association.
  35. Ammouri Bilel, 2024. "Forecasting agricultures security indices: Evidence from transformers method," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1733-1746, September.
  36. 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.
  37. Unknown, 2004. "Agricultural Finance Markets in Transition Proceedings of The Annual Meeting of NCT-194 Hosted by the Center for the Study of Rural America, Federal Reserve Bank of Kansas City October 6 - 7, 2003," Research Bulletins 122103, Cornell University, Department of Applied Economics and Management.
  38. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
  39. Hloušková, Z. & Ženíšková, P. & Prášilová, M., 2018. "Comparison of Agricultural Costs Prediction Approaches," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(1).
  40. 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.
  41. Kastens, Terry L. & Schroeder, Ted C., 1996. "Efficiency Tests Of July Kansas City Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-12, December.
  42. Kyriazi, Foteini & Thomakos, Dimitrios D. & Guerard, John B., 2019. "Adaptive learning forecasting, with applications in forecasting agricultural prices," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1356-1369.
  43. Manogna R L & Aswini Kumar Mishra, 2021. "Forecasting spot prices of agricultural commodities in India: Application of deep‐learning models," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 72-83, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.