This study reviews articles using regression analysis published in the Journal of Agricultural and Resource Economics from 1994 to 1998 to determine agricultural economists' effectiveness in reporting and conveying research procedures and results. Based on the authors' experience of surveying...

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...

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...

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...

This paper estimates and compares generalized Box-Cox and composite cost functions to identify scale and scope economies. The robustness of the outcomes to different functional specifications was examined. Increasing returns to scale was common for product-specific and the overall measures....

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

Coffee production in Puerto Rico is labor intensive since harvest is done by hand for quality and topography conditions. Färe's nonparametric approach was used to estimate technical, allocative, scale and overall efficiency measures for coffee farms in Puerto Rico during the 2000 to 2004...

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...