Monthly vector autoregressions of corn, farm broiler, and retail broiler prices were estimated for 1956:1-1968:12 (early period) and 1973:1-1985:11 (recent period), and then validated 36 months beyond each sample. Statistically significant evidence suggests that the dynamic manner in which corn...

Time series econometric methods are applied to monthly observational data over the period 1978-1992 on real exchange rates, real corn prices, corn export sales, and corn export shipments for the United States. In-sample fit and out-of-sample forecast results are used to discern whether exchange...

Time series techniques (vector autoregression or VAR) are employed to model a three-price dynamic system of the farmgate, processor, and consumer prices of wheat-related goods. An increase (presumably drought-induced) in farmgate wheat price is simulated to determine impacts on processor and...

This paper applies a combined methodology of a recently developed directed acyclic graph (DAG) analysis with Johansen and Juselius' methods of the cointegrated vector autoregression (VAR) model to a monthly U.S. system of markets for soybeans, soy meal, and soy oil. Primarily a methods paper,...

This paper demonstrates the application of a recently developed methodology, the combination of directed acyclic graphs (DAGs) with Bernanke structural vector autoregression (VAR) models, to model a system of U.S. commodity-related and value-added markets. As an example, the paper applies this...

This paper demonstrates the application of a recently developed methodology, the combination of directed acyclic graphs (DAGs) with Bernanke structural vector autoregression (VAR) models, to model a system of U.S. commodity-related and value-added markets. As an example, the paper applies this...

Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast...

A 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...

Advanced methods that combine directed acyclic graphs with Bernanke structural vector autoregression models are applied to a monthly system of three U.S. soy-based markets: for soybeans upstream and for the two soybean co-products soy meal and soy oil further downstream. Analyses of the...