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...

Replaced with revised version of paper 06/26/06.

This paper examines the Multi-Product Asymptotically Ideal Production Model as an alternative to the translog and normalized quadratic functional forms using farm level data. Factors such as ease of estimation, imposition of regularity conditions, and quantitative differences in empirical...

Using Kansas Farm data from 1973 to 1998, curvature restrictions are imposed on a translog cost function. Using uninformative priors with indicator functions representing distribution and inequality constraints, a Markov Chain Monte Carlo Simulation method is used to estimate parameters and...

The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential. The robustness of such inferences is dependent on...

Replaced with revised version of paper 06/26/06.

The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential. The robustness of such inferences is dependent on...

Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture. Results from the model indicate that 2000 will be another difficult...