We derive a joint continuous/censored commodity demand system for panel data applications. Unobserved heterogeneity is controlled for using a correlated random effects specification and a generalized method of moments framework used to estimate the model. While relatively small differences in...

In this paper we derive a joint continuous/censored demand system suitable for the analysis of commodity demand relationships using panel data. Unobserved heterogeneity is controlled for using a correlated random effects specification and a Generalized Method of Moments framework used to...

In recent years increased emphasis has been placed on a range of "non-trade" concerns and their implications for the move towards freer trade. We review the basis of several of these concerns, focusing particularly on multifunctionality. The simple view of a fixed proportions relationship...

This paper contributes to an evaluation of the performance of ground nuts in drought-prone areas by estimating yield response functions to water from experimental data. They are combined with meteorological data to simulate yields by location. Efficient genotypes are identified by several risk...

Decomposition methods suggest major contributors to variability in returns to New York dairy farms are purchased feed quantities and milk production; milk price variability contributes substantially less. Decomposing the Gini measure of income inequality indicates that milk revenues and...

Logit regression models are estimated to identify factors affecting decisions to enroll farmland in New York's agricultural districts program and participate in the use-value assessment program. The results suggest that the districts law is consistent with preserving the best farmland at the...

Participation in the 1984-85 Milk Diversion Program (MDP) is examined through the analysis of aggregate state level data for the U.S. and county level data from New York. Linear probability, logit and probit models of participation are estimated. The empirical results are highly similar across...