This study instructs an artificial price competition market to examine the impact of capacity constraints on the behavior of packers. Results show when there are cattle left for the lowest bidder after all other packers finishing their procurement, the capacity constraints make the price lower...

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 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...

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...

This research forecasts peak call volume to allow a centralized call center to minimize staffing costs. A Gaussian copula is used to capture the dependence among nonnormal distributions. Peak call volume can be easily and more accurately predicted using the marginal probability distribution with...

Deterministic and stochastic yield response plateau functions were estimated to determine the expected profit-maximizing nitrogen rates, yields, and net returns for corn grown after corn, cotton, and soybeans. The stochastic response functions were more appropriate than their deterministic...

The use of surveys as a data collection method gained its popularity in recent years. However, one needs to be aware of the possibility to make measurement errors due to incorrect surveys design. The way how a question is asked and the choice the respondents have to choose from shape the sample...

This study examines the impacts of empirical definition of zero output values on price elasticities, economy of scope, and scale using the Translog cost function. A system of cost and factor share equations with regularity conditions imposed is estimated. Results show that the choice of default...

In this study, we measure willingness to pay for E10 fuel by US consumers employing a contingent valuation technique in a simultaneous latent variable equation framework. The simultaneous equation framework helps us to understand the way consumers' perceptions about ethanol are developed and...

A structural time series approach utilizing the state space model is used to analyze the impact of exchange rate volatility on the bilateral U.S. cotton exports to major export destinations. An EGARCH (Exponential Generalized Autoregressive Conditional Heteroskedasticity) model with normal and...