U.S. beef cattle stocks are among the most periodic economic time series. A theory of cattle cycles is constructed on the basis of breeding stock inventory decisions. The low fertility rate of cows and substantial lags and future feedback between fertility and consumption decisions cause the demographic structure of the herd to respond cyclically to exogenous shocks in demand and production costs. Known demographic parameters of cattle imply sharp numerical benchmarks for the resulting dynamic system and closely compare with independent econometric time-series estimates over the 1875-1990 period. The model fits extremely well. Copyright 1994 by University of Chicago Press.
References listed on IDEAS
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- Randal R. Rucker & Oscar R. Burt & Jeffrey T. LaFrance, 1984.
"An Econometric Model of Cattle Inventories,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 66(2), pages 131-144.
- Randal R. Rucker & Oscar R. Burt & Jeffrey T. LaFrance, 1984. "An Econometric Model of Cattle Inventories," Monash Economics Working Papers archive-25, Monash University, Department of Economics.
- Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
- Mordecai Ezekiel, 1938. "The Cobweb Theorem," The Quarterly Journal of Economics, Oxford University Press, vol. 52(2), pages 255-280.
- Glen D. Whipple & Dale J. Menkhaus, 1989. "Supply Response in the U.S. Sheep Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 126-135.
- James N. Trapp, 1986. "Investment and Disinvestment Principles with Nonconstant Prices and Varying Firm Size Applied to Beef-Breeding Herds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 691-703.
- Foster, Kenneth A & Burt, Oscar R, 1992. "A Dynamic Model of Investment in the U.S. Beef-Cattle Industry," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 419-426, October. Full references (including those not matched with items on IDEAS)
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