A method of estimating a linear response stochastic plateau function is developed and used to determine optimal levels of nitrogen fertilization for wheat. Under the stochastic plateau model, optimizing behavior implies different nitrogen levels than the linear plateau model, depending on the...

Regional integration through trade is recognized as one way to foster economic growth and poverty reduction. This paper uses the gravity model and 11-year panel data (1996-2006) on Southern African Development Community (SADC) member countries to study Zambia’s regional agricultural trade...

Regional integration through trade is recognized as one way to foster economic growth and poverty reduction. This paper uses the gravity model and 11-year panel data (1996-2006) on Southern African Development Community (SADC) member countries to study Zambia’s regional agricultural trade...

This study compares he profitability and risk related to conventional and organic vegetable production systems A linear programming model was used to find the optimal mix of vegetables in both production systems. And a target MOTAD (minimization of total absolute deviation) model was used to...

Futures prices when combined with a basis forecast provide a reliable way to forecast cashprices. The most popular method of forecasting basis is historical moving averages. Given therecent failure of longer moving averages proposed by previous studies, this research reassessespast...

USDA data are commonly used to determine producers' returns to storage. Aggregating data may result in a loss of information, leading to underestimated returns. This study compares USDA and elevator data from Oklahoma to determine how much USDA data underestimates returns. Results indicate USDA...

Little research has been conducted on evaluating out-of-sample forecasts of limited dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for limited dependent variables: receiver-operator curves and out-of-sample-log-likelihood...

Several recent papers have used annual changes and monthly data to estimate demand systems. Such use of overlapping data introduces a moving average error term. This paper shows how to obtain consistent and asymptotically efficient estimates of a demand system using seasonally differenced data....

Training a neural network is a difficult optimization problem because of numerous local minimums. Many global search algorithms have been used to train neural networks. However, local search algorithms are more efficient with computational resources, and therefore numerous random restarts with a...