Naive and adaptive schemes have been used as proxies for price expectations in previous studies of supply response. Those studies contain mixed formulas of futures, support, and lagged prices as alternative formulations for price expectations. This study uses a conditional expected price which combines both market and support prices into one price expectations measure. It defines the total effect of available information on supply response. The results indicate the potential usefulness of formulating expected prices as conditional price expectations in supply response analysis, with support prices being the conditional set. Under the provisions of the 1985 Farm Bill, significant reductions in corn and soybean acreages are in prospect for 1987-90.

This paper determines the effects of cattle feeders' risk aversion on feeder cattle prices using pen data of Kansas feedlots. Higher profit risk results in lower feeder cattle prices. The elasticity of feeder cattle price with respect to profit risk was small (-0.013). The risk elasticity estimated here is similar to risk elasticities in previous studies and thus, the use of pen-level data does not seem to add much to the study of risk.

An adaptive regression model is used to examine the relative importance of cash and government support prices in determining cotton production over time. The results show that the cash price is more important as a source of price information for cotton producers than the government program price. The cash price was shown to have a greater influence on acreage response in every year, including periods thought to be dominated by government commodity programs.