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...

This study investigated the magnitude of forecast improvements resulting from correction of inefficiencies in USDA cotton forecasts over 1999/00 to 2008/09 marketing years. The aspects of forecast performance included in this study were 1) bias and trends in bias, 2) correlation between forecast...

The main objective of this study was to analyze the effect of advertising on social welfare in a perfectly competitive market where the level of advertising is chosen by a social planner. The theoretical model revealed that social planner sponsored advertising that increases the equilibrium...

The purpose of this study was to analyze structural changes that took place in the cotton industry in recent years and develop a statistical model that reflects the current drivers of U.S. cotton prices. Legislative changes authorized the U.S. Department of Agriculture to resume publishing...

The objective of this study is to evaluate South Carolina (SC) consumers’ willingness to pay for “SC grown” products. Results indicate that consumers in SC are willing to pay an average premium of 27% for local produce and 23% for local animal products. Premiums for local products are...