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Granger Causality and U.S. Crop and Livestock Prices

Published online by Cambridge University Press:  28 April 2015

Rod F. Ziemer  and
Glenn S. Collins
Rod F. Ziemer
Affiliation:
Department of Agricultural Economics, Texas A&M University
Glenn S. Collins
Affiliation:
Department of Agricultural Economics, Texas A&M University Ben Kennedy and Associates, Inc.
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Abstract

Agricultural economists have recently been attracted to procedures suggested by Granger and others which allow observed data to reveal causal relationships. Results of this study indicate that “causality” tests can be ambiguous in identifying behavioral relationships between agricultural price variables. Caution is suggested when using such procedures for model choice.

Keywords

Granger causalitycausality testsautoregressive processes
Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 16 , Issue 1 , July 1984 , pp. 115 - 120
Copyright
Copyright © Southern Agricultural Economics Association 1984

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References

Akaike, H. “Fitting Autoregressive Models for Production.” Amer. Inst. Statist. Math. 21 (1969):243–247.Google Scholar
Arzac, E. R., and Wilkinson, M.. “A Quarterly Econometric Model of U.S. Livestock and Feed Grain Markets and Some of its Policy Implications.” Amer. J. Agr. Econ. 61(1979):297–308.Google Scholar
Belongia, M., and Dickey, D. A.. “Prefiltering and Causality Tests.” Agr. Econ. Res. 34(1982):10–14.Google Scholar
Bessler, D. A., and Binkley, J.. “Autoregressive Filtering of Some Economic Data Using PRESS and FPE.” Proceedings Amer. Statist. Assoc., Bus. and Econ. Statist. Sec, 1980, pp. 261–265.Google Scholar
Bessler, D. A., and Brandt, J. A.. “Causality Tests in Livestock Models.” Amer. J. Agr. Econ. 64(1982):512–516.CrossRefGoogle Scholar
Bessler, D. A., and Kling, J. L.. “A Note on Tests of Granger Causality.” Applied Economics, forthcoming.Google Scholar
Bessler, D. A. and Schrader, L. F.. “Relationship Between Two Price Quotes for Eggs.” Amer. J. Agr. Econ. 62(1980):766–771.Google Scholar
Box, G. E. P., and Pierce, D. K.. “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models.” J. Amer. Statist. Assoc. 65(1970):1509–1526.CrossRefGoogle Scholar
Collins, G. S., and Taylor, C. R.. “TECHSIM—A Regional Field Crop and National Livestock Econometric Simulation Model.” Agr. Econ. Res. 35(1983):1–18.Google Scholar
Engle, R. F., Hendry, D. D. and Richard, J. F.. “Exogenity.” Econometrica 51(1983):277–304.Google Scholar
Freebairn, J. S. and Rausser, G. C.. “Effect of Changes in the Level of U.S. Beef Imports.” Amer. J. Agr. Econ. 57(1975):676–688.CrossRefGoogle Scholar
Gnevyshev, M. N. and Oi, A. I.. Effects of Solar Activity on the Earth's Atmosphere and Biosphere. Jerusalem: Keter, 1977.Google Scholar
Granger, C. W. J.. “Investigating Causal Relationships by Econometric Models and Cross-Spectral Methods.” Econometica 37(1969):424–438.Google Scholar
Granger, C. W. J.. “Testing for Causality: A Personal Viewpoint.” J. Econ. Dynamics and Control 2(1980):329–352.Google Scholar
Granger, C. W. J., and Newbold, P.. Forecasting Economic Time Series, New York: Academic Press, 1977.Google Scholar
Heien, D. M. “Markup Pricing in a Dynamic Model of the Food Industry.” Amer. J. Agr. Econ. 62(1980):10–18.CrossRefGoogle Scholar
Jacobs, R. L., Learner, E. E., and Ward, M. P.. “Difficulties With Testing For Causation.” Economic Inquiry 17(1979):401–413.Google Scholar
McHugh, J. L. “The Role and History of the International Whaling Commission.” The Whale Problem, ed. Schevill, W. E.. Cambridge, Mass.: Harvard Univ. Press, 1974, pp. 305–335.CrossRefGoogle Scholar
Miller, S. E. “Univariate Residual Cross Correlation Analysis: An Application to Beef Prices.” North Cent. J. Agr. Econ. 1(1979):141–146.Google Scholar
Pierce, D. A. “Relationships—and the Lack Thereof—Between Economic Time Series with Special Reference to Money and Interest Rates.” J. Amer. Statist. Assoc. 72(1977):11–22.Google Scholar
Ray, D. E., and Richardson, J. W.. “Detailed Description of POLYSIM.” Technical Bulletin T-151, Oklahoma Agricultural Experiment Station, 1978.Google Scholar
Salathe, L. E., Price, J. M., and Gadson, K. E.. “The Food and Agricultural Policy Simulator.” Agr. Econ. Res. 34(1982): 1–15.Google Scholar
Schatten, K. H. “A Great Red Spot Dependence on Solar Activity?” Geophysical Research Letters, vol. 6, no. 7, July 1979.Google Scholar
Sheehan, R. G., and Grieves, R.. “Sunspots and Cycles: ATest of Causation.” So. Econ.J. 49(1982):775–777.Google Scholar
Sims, C. A. “Money, Income, and Causality.” Amer. Econ. Rev. 62(1972):540–552.Google Scholar
Sky and Telelscope. “Sunspot Numbers.” 37(1969):256.Google Scholar
Spreen, T. H., and Shonkwiler, J. S.. “Causal Relationships in the Fed Cattle Market.” So. J. Agr. Econ. 13(1981):149–153.Google Scholar
United Nations-Statistical Office. Statistical Yearbook. Dept. of Econ. and Social Affairs, U. N. Publishing Service; New York, New York, 1971-1979.Google Scholar
U. S. Department of Transportation. Highway Statistics 1981. Federal Highway Administration; Superintendent of Documents; U. S. Government Printing Office; Washington, DC; p.20.Google Scholar
Weaver, R. D. “The Causal Linkage of Control Policy and its Targets: The Case of Wheat.” Amer. J. Agr. Econ. 62(1980):512–516.Google Scholar
Zellner, A. “Causality and Econometrics”. Three Aspects of policy and Policymaking: Knowledge, Data, and Institutions, eds. Brunner, K. and Meltzer, A. H.. Amsterdam: North-Holland, 1979, pp. 9–54.Google Scholar