In this paper we seek to improve understanding of the dynamics of perennial crop supply by comparing acreage change on land owned by incumbents compared to landown- ers entering or exiting perennial crop production. Spatially explicit land cover and land ownership data is integrated at the eld...

This study makes an empirical comparison of estimators for censored equations using Monte Carlo simulation. The underlying data generation process is rarely known in practice. From the viewpoint of regression, both ordinary censoring rule and sample selection rule are logical rules of censoring....

We investigate a hedonic model for veterinarian income using survey data from the American Veterinarian Medical Association. Diagnostic testing indicates the presence of spatial autoregression in the hedonic income model, which is accounted for by incorporating a spatial component into the...

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...

Trade relations between the United States (U.S) and Mexico are increasingly interrelated and important ever since the ratification of NAFTA in 1994. With the advent of NAFTA, tariffs on many agricultural products were lowered or are in the process of being lowered. Mexico implements a...

Abstract: We estimate a semi-nonparametric demand system based on a multivariate version of the Muntz-Szatz series expansion which is called the Asymptotically Ideal Model (AIM). The model is applied to consumer demand for dried fruits, raisins, and dried plums. Results from the first and second...