This study uses quantile regressions to estimate historical forecast error distributions forWASDE forecasts of corn, soybean, and wheat prices, and then compute confidencelimits for the forecasts based on the empirical distributions. Quantile regressions with fiterrors expressed as a function of...

This paper explores the use of quantile regression for estimation of empirical confidence limits for WASDE forecasts of corn, soybean, and wheat prices. Quantile regressions for corn, soybean, and wheat forecast errors over 1980/81 through 2006/07 were specified as a function of forecast lead...

This study investigates empirical methods of generating prediction intervals for WASDE forecasts of corn, soybean, and wheat prices over the 1980/81 through 2006/07 marketing years. Empirical methods use historical forecast errors to estimate forecast error distributions, which are then used to...

This study uses quantile regressions to estimate historical forecast error distributions for WASDE forecasts of corn, soybean, and wheat prices, and then compute confidence limits for the forecasts based on the empirical distributions. Quantile regressions with fit errors expressed as a function...

The USDA WASDE (World Agricultural Supply and Demand Estimates) price forecasts are published in the form of an interval, but typically analyzed as point estimates. Thus, all information about uncertainty imbedded in the forecast is ignored. The purpose of this paper is to evaluate the accuracy...

The lack of consistently acceptable convergence performance for Chicago Board of Trade (CBOT) corn, soybean, and wheat contracts since late 2005 has been widely discussed (e.g., Henriques, 2008).1 Convergence performance is summarized in Figure 1, depicting delivery location basis levels on the...

The United States Department of Agriculture (USDA) has a number of agencies that are involved in collecting, analyzing, forecasting, and disseminating information about the production and consumption of the corn and soybean crops (Spilka, 1983; Vogel and Bange, 1999; Lusk, 2013). Market participants...