A discrete stochastic, programming model is formulated to study the gains from diversification when farming operations are augmented with off-farm financial assets that are not highly correlated with returns from farming. We extend past research by considering the dynamics of accumulating these...

The issue of modeling farm financial decisions in a dynamic framework is addressed in this paper. Discrete stochastic programming is used to model the farm portfolio over the planning period. One of the main issues of discrete stochastic programming is representing the uncertainty of the data....

The Dungeness is a popular food and the most commercially important crab in the western states in the U.S. Like all agricultural production, the crab fisherman face yield risks and must manage these risks. In addition to weather risk, crab fisherman may experience low yields if the crabs are...

The paper measures the U.S. Farm Credit System’s technical efficiency from 2000 to 2009 using a stochastic frontier production function model with quarterly unbalanced panel data. The paper's results suggest that the FCS has not efficiently utilized their inputs. On an average, the system...

New econometric and statistical techniques have been used in recent years to provide with exchange rates forecasting models that can statistically outperform a random walk. In particular, a model that uses the term structure of forward premia into a regime-switching vector error correction model...

Cover Page; Preface; Table of Contents; NC-161 Meeting Participates