Because so much agricultural policy analysis utilizes estimates of supply and demand elasticities, it is crucial to obtain the most reliable estimates possible. Where reliability cannot be adequately assessed, the sensitivity of elasticities to equally plausible a priori specifications should at...

Neoclassical economic theory provides an important conceptual framework for the analysis of agricultural production. Theory provides little guidance, however, in the actual specification of empirical models. This paper applies an integrated approach for choosing between price expectation...

The generalized composite commodity theorem (Lewbel 1996) is used to test for consistent aggregation of U.S. and Mexican agricultural production data in each of the categories for which earlier tests rejected homothetic separability. All U.S. agricultural outputs can be justifiably aggregated...

Supply functions, elasticity estimates, and nonjointness test results consistently indicated that few commodities compete economically in the production of six major Texas vegetables (cabbage, cantaloupes, carrots, onions, potatoes, and watermelons). Significant bias effects caused by...

Conceptual problems in model specification of beef supply response studies are investigated and a simultaneous equation model is formulated to estimate annual U.S. carcass supply, demand, and inventories of beef. Three basic issues are addressed: (a) disaggregation, (b) simultaneity, and (c)...

The projections for feed and milk prices have changed over the last year. This study looks at how the changes affect the dairy industry. The high feed prices have been trumped by higher milk prices and the economic viability of the dairy industry has improved across the board.

Over the last few years, the production of renewable fuels has increased dramatically. Rising oil prices, limited supplies of fossil fuel, and increased concerns about global warming have created a growing demand for renewable energy sources. Both the ethanol and biodiesel industries have...

A dynamic model of daily cash and futures prices for cotton was developed using time series analysis. The time series model was included in a recursive Monte Carlo simulation model. Validation of the model was performed with a stochastic, dynamic simulation of the estimated model over the...