Forecasts of U.S. ending stocks for corn, soybean, and wheat issued by the USDA and private analysts are evaluated. The … null hypothesis that USDA forecasts are unbiased cannot be rejected. The null hypothesis that private analysts' forecasts … are unbiased forecasts of USDA forecasts cannot be rejected either. However, there is strong evidence that the forecasts …

uses a novel dataset documenting the introduction of forecasts of an important, global driver of climate variation—El Nino …

The existing literature on dynamic efficiency is deterministic and ignores uncertainty when deriving dynamic efficiency … measures, even though it is known that uncertainty affects the optimal adjustment path and the optimal use of quasi … optimal investment under uncertainty jointly into consideration. We apply this model to German farm-level panel data to …

. We then contrast this optimal path to that obtained when the uncertainty is not ignored, thereby demonstrating signicance … of factoring uncertainty in the optimization stage. …

feedstocks, under the condition of limited resources and uncertainty resulting from incomplete information or missing knowledge …

pollution. Public uncertainty about key economic parameters are considered. Results indicate that policy choice is sensitive to …

This paper examines the effects of price uncertainty on agricultural productivity. Appelbaum(1991) provided an … empirical framework to analyze the effects of uncertainty on firm behavior. We apply the model to the U.S. agricultural sector …, using a parametric rather than a nonparametric approach to obtain the measurement of price uncertainty and risk. Keywords …