This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Forecasting For Australian Agriculture

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Freebairn, J.W.
Abstract

The paper provides a review of the objectives of forecasts and of the techniques for generating forecasts in the context of agriculture. Forecasts provide information to facilitate decision making. The techniques are evaluated in terms of assumptions about the processes generating the forecast variables, their relative requirements for time, data and other resources, and their relative forecast accuracy. An evaluation of naive, informal model and econometric model forecasts of Australian agricultural commodity prices and production levels is reported.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/22334
File Format: application/pdf
File Function:
Download Restriction: no

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

Volume (Year): 19 (1975)
Issue (Month): 03 (December)
Pages:
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ags:ajaeau:22334

Contact details of provider:
Postal: AARES Central Office Manager, APSEG, ANU, Canberra ACT 0200
Phone: (02) 6125 6564
Email:
Web page: http://www.aares.info/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (AgEcon Search).

Related research
Keywords: Research Methods/ Statistical Methods;

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Norton, W E, 1972. "Forecasting with a Macroeconomic Model: An Introduction," The Economic Record, The Economic Society of Australia, vol. 48(121), pages 116-22, March.
  2. Feldstein, Martin S, 1971. "The Error of Forecast in Econometric Models when the Forecast-Period Exogenous Variables are Stochastic," Econometrica, Econometric Society, vol. 39(1), pages 55-60, January.
  3. Howrey, E Philip & Klein, Lawrence R & McCarthy, Michael D, 1974. "Notes on Testing the Predictive Performance of Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 366-83, June. [Downloadable!] (restricted)
  4. Harris, Stuart, 1974. "Changes In The Terms Of Trade For Agriculture: New Plateau Or New Precipice," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 18(02), August. [Downloadable!]
  5. Schmidt, Peter, 1974. "The Asymptotic Distribution of Forecasts in the Dynamic Simulation of an Econometric Model," Econometrica, Econometric Society, vol. 42(2), pages 303-09, March. [Downloadable!] (restricted)
  6. Phoebus J. Dhrymes & E. Philip Howrey & Saul H. Hymans & Jan Kmenta & Edward E. Leamer & Richard E. Quanot & James B. Ramsey & Harold T. Shapiro & Victor Zarnowitz, 1972. "Criteria For Evaluation Of Econometric Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 291-325 National Bureau of Economic Research, Inc. [Downloadable!]
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Lee, B.M.S. & Bui-Lan, A., 1982. "Use Of Errors Of Prediction In Improving Forecast Accuracy: An Application To Wool In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(01), April. [Downloadable!]
  2. Gellatly, Colin, 1979. "Forecasting N.S.W. Beef Production: An Evaluation of Alternative Techniques," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 47(02), August. [Downloadable!]
  3. Vere, D.T. & Griffith, G.R., 1995. "Forecasting in the Australian Lamb Industry: the Influence of Alternate Price Determination Processes," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(03), December. [Downloadable!]
  4. Jolly, L.O. & Wong, G., 1987. "Composite Forecasting: some empirical results using BAE short-term forecasts," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 55(01), April. [Downloadable!]
  5. Hardaker, J. Brian, 1985. "Beliefs And Values In Agricultural Economics Research," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 29(02), August. [Downloadable!]
  6. Vere, D.T. & Griffith, G.R., 1990. "Comparative Forecast Accuracy In The New South Wales Prime Lamb Market," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(02), August. [Downloadable!]
Statistics
Access and download statistics

Did you know? The yearly budget of IDEAS is exactly $0: it relies entirely on volunteer work.

This page was last updated on 2009-12-11.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.