Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower...

A new stochastic process is introduced where permanent changes occur following a Poisson jump process and temporary changes occur following a normal distribution. The model is estimated using hard wheat basis data and is used to explain why the optimal length of moving average to forecast basis...

This article analyzes the dynamic relationships among weekly prices of price byproducts, long gram rice, and corn, using causality tests and dynamic multipliers The authors use forecasts to evaluate the time series model rice byproducts prices may be influenced more by shifts 10 demand than 10...

We estimate the value of using information from genetic marker panels for seven economically relevant feedlot cattle traits. The values of using genetic information to sort cattle by optimal days-on-feed are less than $1/head for each of the traits evaluated. However, the values associated with...

This article provides a framework to compare market outcomes among vertically integrated monopsonies in the cotton sector of West Africa and alternative, more competitive market structures. Based on a principal agent framework, in the presence of factor market constraints, as well as capital...

Alternative ways of using Monte Carlo methods to implement a Cox-type test for separate families of hypotheses are considered. Monte Carlo experiments are designed to compare the finite sample performances of Pesaran and Pesaran's test, a RESET test, and two Monte Carlo hypothesis test...