We investigate forecast performance of artificial neural network models using Ashley, et al. (1980) and employ neural network nonlinearity test proposed by Lee, et al. (1993) to find possible existence of business cycle asymmetries in Canada, France, Japan, UK, and USA real GDP growth rates. Our...

Out-of-sample forecasting of annual U.S. per capita food consumption, applying data from 1923 to 1992, is used as a basis for model selection among the absolute price Rotterdam model, a first-differenced linear approximate almost ideal demand system (FDLA/ALIDS) model, and a first-differenced...

Exports are becoming increasingly important for US livestock and poultry producers. Consequently, meat industry participants are concerned about the potential impacts of variations in relative currency values. These effects are considered by quantifying the impacts of relative exchange rates on...

Crop marketing, and specifically the efficiency of markets, is a topic of much interest and debate in the agricultural industry. This case study examines the effectiveness of a marketing advisory service (MAS) in pricing hard red winter wheat in Kansas. The post-harvest recommendations of this...

Adoption rates of nutrient and pesticide best management practices are investigated across farm types. Using a survey or corn and grain sorghum producers from Kansas, larger family farms are more likely to adopt best management practices aimed at reducing nitrate and pesticide runoff than...

Evaluating the impact of using different starting conditions in econometric models is increasingly critical. This study demonstrates implications of using alternative starting value conditions and how these implications vary with econometric model complexity. This piece also proposes a universal...