ENTREPRENEURIAL RISK-TAKING VERSUS GROWTH MANAGEMENT: THE CASE OF PREMIER TECHNOLOGY, INC.

Agribusiness,

An Overview of the Wheat Gluten Industry

Production Economics,

Distributional Impacts of Country-of-Origin Labeling in the U.S. Meat Industry

Concerns about the negative effects of U.S. meat and livestock imports on domestic livestock prices have increased interest in country-of origin labeling (COOL) legislation. An equilibrium displacement model is used to estimate short-run and long-run changes in equilibrium prices and quantities of meat and livestock in the beef, pork, and poultry sectors resulting from the implementation of COOL. Retail beef and pork demand would have to experience a one-time, permanent increase of 4.05% and 4.45%, respectively, so that feeder cattle and hog producers do not lose producer surplus over a 10-year period.country-of-origin labeling, equilibrium displacement model, producer surplus, Agribusiness,

Global and U.S. Wheat Gluten Industries: Structure, Competition, and Trade

Industrial Organization,

Forecasting a moving target: The roles of quality and timing for determining northern U.S. Wheat basis

Citation: Bekkerman, A., Brester, G. W., & Taylor, M. (2016). Forecasting a moving target: The roles of quality and timing for determining northern U.S. Wheat basis. Journal of Agricultural and Resource Economics, 41(1), 25-41. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955444036&partnerID=40&md5=5269e2afe2c206ad381f66e84019281dWhile nearly instantaneous commodity futures price information provides price forecasts for national markets, many market participants are interested in forecasts of local cash prices. Expected basis estimates are often used to convert futures prices into local price forecasts. This study considers basis patterns in the northern U.S. hard red spring and hard red winter wheat markets. Using data on basis values across 215 grain-handling facilities, we empirically test the forecasting capabilities of numerous basis models. Contrary to basis models developed for other U.S. regions, we show that recent futures prices, protein content, and harvest information are more important for accurate basis forecasts than historical basis averages. The preferred basis models are used to develop an automated web-based basis forecasting tool, available at http://wheatbasis.Montana.edu. Copyright 2016 Western Agricultural Economics Association