The purpose of this study was to examine the impact of situation and outlook information from World Agricultural Supply and Demand Estimates (WASDE) in corn and soybean futures markets over the period 1985 to 2006. Results indicate that WASDE reports containing National Agricultural Statistics Service (NASS) crop production estimates and other domestic and international situation and outlook information have the largest impact; causing return variance on report sessions to be 7.38 times greater than normal return variance in corn futures and 6.87 times greater than normal return variance in soybean futures. WASDE reports limited to international situation information and domestic and international outlook information have a smaller impact. The results show that the impact of WASDE reports has increased over time.

The effects of biofuel production on commodity prices and their transmission to retail food prices are discussed. Factors driving higher commodity prices are tight global supplies and increased demand of corn ethanol in the short term. Evidence suggests that higher corn prices contribute to food price inflation for some food items. These include eggs, poultry, pork, beef and milk. The findings imply that food price inflation for these items is related to increased production of corn ethanol, primarily because of high oil prices. Higher oil prices also increase fuel and energy costs, which increase marketing costs for all food categories.

A latent segmentation modeling is used in this study to identify theheterogeneity of willingness-to-pay estimates for quality attributes andcountry-of-origin in the Korean beef market. Three distinctive groups ofgrocery shoppers are identified based on their level of concern (very,moderately, and not too concerned) about the use of antibiotics andgenetically modified organism feed ingredients in beef production. Resultsindicate that the very concerned group values such attributes asantibiotics-free, genetically modified organism-free, and domesticproduction the most among the three groups. Results also suggest that themost important factor in determining grocery shoppers' willingness-to-pay iscountry-of-origin for all three groups.

Forward pricing behavior of random samples of Indiana, Nebraska, and Mississippi crop producers was analyzed using Heckman's two-step limited information maximum likelihood estimation procedure. Producers who forward priced during the 1995–1998 period generally expected to forward price in 1999 using similar techniques. Probit models were estimated for cash forward contracts and taking a direct position in futures or options separately and combined. Results provide limited support for the hypothesis that forward pricing should be analyzed as an adoption decision. Variables reflecting risk attitudes do affect the decision to use forward pricing, while variables related to economic position affect the level of forward pricing.