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An Evaluation of the Rice Outlook and Situation Price Forecasts

Published online by Cambridge University Press:  28 April 2015

Emmett W. Elam  and
Shelby H. Holder
Emmett W. Elam
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Arkansas
Shelby H. Holder
Affiliation:
Economic Research Service, USDA
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Abstract

The Rice Outlook and Situation (RO&S) forecasts were compared to the forecasts of a univariate Box-Jenkins (BJ) model. On balance, the RO&S forecasts had lower mean square forecast errors and lower mean absolute forecast errors than the BJ model forecasts. The differences in the squared and absolute forecast errors were not significant, however. Based on the concept of conditional efficiency as set forth by Granger and Newbold, it was found that the BJ forecasts did not add any information that might improve forecast accuracy beyond what was already incorporated in the RO&S forecasts.

Keywords

rice priceforecast evaluationunivariate time series
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 17 , Issue 2 , December 1985 , pp. 155 - 162
Copyright
Copyright © Southern Agricultural Economics Association 1985

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References

Ashley, R., Granger, C. W. J., and Schmalensee, R.. “Advertising and Aggregate Consumption: An Analysis of Causality.” Econometrica, 48(1980):1,149–1,167.CrossRefGoogle Scholar
Bessler, D. A. and Brandt, J. A.. Composite Forecasting of Livestock Prices: An Analysis of Combining Alternative Forecasting Methods. Purdue Agricultural Experiment Station Bulletin No. 265; December, 1979.Google Scholar
Board of Governors of the Federal Reserve System. Federal Reserve Bulletin. Washington, D.C., various monthly issues for 1972-1982.Google Scholar
Box, G. E. P. and Jenkins, G. M.. Time Series Analysis, Forecasting and Control. San Francisco: Holden-Day, Inc., 1970.Google Scholar
Brandt, Jon A. and Bessler, David A.. “Forecasting with a Dynamic Regression Model: A Heuristic Approach.” No. Central J. Agr. Econ., 4(1982):27–33.Google Scholar
Brandt, Jon A. and Bessler, David A.. “Price Forecasting and Evaluation: An Application in Agriculture.” J.of Forecasting, 2(1983):237–248.CrossRefGoogle Scholar
Crowder, R. T. “Statistical vs. Judgmental and Audience Considerations in the Formulation and Use of Econometric Models.” Amer. J. Agr. Econ., 54(1972):779–783.CrossRefGoogle Scholar
Fama, E. F. “Efficient Capital Markets: A Review of Theory and Empirical Work,” J. of Fin., 25(1970):383–417.CrossRefGoogle Scholar
Farebrother, R. W. “The Durbin-Watson Test for Serial Correlation When There Is No Intercept in the Regression.” Econometrica, 48(1980):1,553–1,563.CrossRefGoogle Scholar
Granger, C. W. F. and Newbold, Paul. Forecasting Economic Time Series. New York: Academic Press, Inc., 1977.Google Scholar
Gray, Roger W. “The Characteristic Bias in Some Thin Futures Markets.” Food Research Institute Studies, 1(1960):296–312.Google Scholar
Harris, K. S. and Leuthold, R. M.. “Alternative Forecasting Techniques: A Case Study for Livestock Prices.” Paper presented at the Applied Commodity Price Analysis and Forecasting Conference, Ames, Iowa; April, 1983.Google Scholar
Hayami, Yujiro and Peterson, Willis. “Social Returns to Public Information Services: Statistical Reporting of U. S. Farm Commodities.” Amer. Econ. Rev., 62(1972):119–130.Google Scholar
Just, R. E. and Rausser, G. C.. “Commodity Price Forecasting with Large-Scale Econometric Models and the Futures Market.” Amer. J. Agr. Econ., 63(1981):197–208.CrossRefGoogle Scholar
Koerts, J. and Abrahamse, A. P. J. On the Theory and Application of the General Linear Model. Rotterdam: Rotterdam University Press, 1969.Google Scholar
Labys, Walter C. and Granger, C. W. J. Speculation, Hedging and Commodity Price Forecasts. Lexington, Massachusetts: Heath Lexington Books, 1970.Google Scholar
Ljung, G. M. and Box, G. E. P. “On a Measure of Lack of Fit in Time Series Models.” Biometrika, 65(1978):197–203.CrossRefGoogle Scholar
Nelson, C. R.Applied Time Series Analysis for Managerial Forecasting San Francisco: Holden-Day, Inc., 1973.Google Scholar
Pindyck, R. S. and Rubinfeld, D. L.. Econometric Models and Economic Forecasts. New York: McGraw-Hill, 1976.Google Scholar
Thomsen, F. L. and Foote, R. J.. Agricultural Prices. New York: McGraw- Hill Book Company, Inc., 1953.Google Scholar
U.S. Department of Agriculture, Agricultural Marketing Service. Weekly Rice Market News. Washington, D.C., 1972–1983.Google Scholar
U.S. Department of Agriculture, Economic Research Service. Rice Outlook and Situation. Washington, D.C., September and March issues for the marketing years, 1972-1982.Google Scholar
U.S. Department of Agriculture, Statistical Reporting Service. Agricultural Prices. Washington, D.C., various issues.Google Scholar