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...

The non-alcoholic beverage market in the U.S. is a multi-billion dollar industry growing steadily over the past decade. Also, non-alcoholic beverages are among the most heavily advertised food and beverage groups in the United States. Several studies pertaining to non-alcoholic beverages...

Relationships between the United States Department of Agriculture's (USDA) estimated World Market Price, the Thai milled rice price, US transportation-adjusted cash rough rice price, and the Chicago Rice and Cotton Exchange rough rice futures price are examined for the 1987-1991 marketing years....

Recent egg price quotes are evaluated in a vector autoregression. The results indicate that empirical relationships observed over the period 1975-1976 differ from those observed over the period 1979-1982.

The primary objective of this study is to answer two key questions regarding the U.S. soybean checkoff program over time: (1) What have been the effects of the soybean checkoff program on U.S. and world soybean and soybean product markets? (2) Has the soybean checkoff program benefited soybean...

Statistical methods are used to study relationships between research expenditures (adjusted for inflation) made from producer checkoff programs and soybean yields and net revenues in the United States for the years 1978 – 2007. Results presented are for yield and net revenue data and research...

Directed Acyclic Graphs (DAG's) and Error Correction Models (ECM's) are employed to analyze questions of price discovery between spatially separated commodity markets and the transportation market linking them together. Results from our analysis suggest these markets are highly interconnected...

Forecast users and market analysts need quality forecast information to improve their decision-making abilities. When more than one forecast is available, the analyst can improve forecast accuracy by using a composite forecast. One of several approaches to forming composite forecasts is a...