This paper examines the effect of Canadian agricultural business risk management (BRM) programs on farm financial performance. Monte Carlo simulation is used to model stochastic prices and production for a representative Alberta cropping operation. Net present value (NPV) analysis is used to...

Understanding how producers make decisions to allot acreage among crops and how decisions about land use are affected by changes in prices and their volatility is fundamental for predicting the supply of staple crops and, hence, assessing the global food supply situation. The innovations of the...

The objective of this article is to propose the use of moment functions and maximum entropy techniques as a flexible way to estimate conditional crop yield distributions. We present a moment based model that extends previous approaches in several dimensions, and can be easily estimated using...

As part of its research program during the last 4 years, the Agricultural Estimates Division, AMS, has conducted extensive studies on objective yield forecasting methods for several important field crops. Some results of these studies on cotton in the South and on soybeans in the North Central...