The Corn-Egg Price Transmission Mechanism
AbstractA vector autoregression (VAR) model of corn, farm egg, and retail egg prices is estimated and shocked with a corn price increase. Impulse responses in egg prices, t-statistics for the impulse responses, and decompositions of forecast error variance are presented. Analyses of results provide insights on the corn/egg price transmission mechanism and on how corn price shocks pulsate through the egg-related economy.
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Bibliographic InfoArticle provided by Southern Agricultural Economics Association in its journal Southern Journal of Agricultural Economics.
Volume (Year): 22 (1990)
Issue (Month): 02 (December)
Demand and Price Analysis;
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- Pratt, John W. & Schlaifer, Robert, 1988. "On the interpretation and observation of laws," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 23-52.
- David A. Bessler, 1984. "An Analysis of Dynamic Economic Relationships: An Application to the U.S. Hog Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 32(1), pages 109-124, 03.
- Babula, Ronald A. & Bessler, David A. & Schluter, Gerald E., 2. "Poultry-Related Price Transmissions and Structural Change Since the 1950's," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, issue 2.
- Kloek, Tuen & van Dijk, Herman K, 1978. "Bayesian Estimates of Equation System Parameters: An Application of Integration by Monte Carlo," Econometrica, Econometric Society, vol. 46(1), pages 1-19, January.
- Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
- Hall, S G, 1986. "An Application of the Granger & Engle Two-Step Estimation Procedure to United Kingdom Aggregate Wage Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 229-39, August.
- Buhr, Brian L., 1993. "A Quarterly Econometric Simulation Model Of The U.S. Livestock And Meat Sector," Staff Papers 13465, University of Minnesota, Department of Applied Economics.
- Ping Zhang & Stanley M. Fletcher & Dale H. Carley, 1995. "Peanut price transmission asymmetry in peanut butter," Agribusiness, John Wiley & Sons, Ltd., vol. 11(1), pages 13-20.
- Williams, Christine H. & Bewley, Ronald A., 1993. "Price Arbitrage Between Queensland Cattle Auctions," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 37(01), April.
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