This paper evaluates the economic and environmental tradeoffs at watershed scale by incorporating both economic and environmental risks in agricultural production. The Target MOTAD model is modified by imposing a probability-constrained objective function to capture the yield uncertainty caused by random allocation of farming systems to soil types and by introducing environmental targets to incorporate environmental risk due to random storm events. This framework is used to determine the tradeoff frontier between watershed net return and sediment yield and nitrogen concentration in runoff in Goodwater Creek watershed, Missouri. The frontier is significantly affected by environmental risk preference.

Higher propety taxes and uncertainty about post-easement tax levels may create a disincentive for landowners to participate in federal easement programs such as the Wetlands Reserve Program, and thus may distort participation levels in a manner inconsistent with the environmental benefits associated with individual parcels. Support for this hypothesis is provided in an exploratory analysis of state level participation in the Wetlands Reserve Program. If such distortions prove to be policy relevant, then either they should be accounted for in the bid acceptance process of future federal easement programs, or individual states and localities should correct property tax differentials and post-easement tax uncertainty.

A structural time series model is used to estimate the supply response function for broiler production in the United States using quarterly data and a structural time series model. This model has the advantage of expressing trend and seasonal elements as stochastic components, allowing a dynamic interpretation of the results and improving the forecast capabilities of the model. The results of the estimation indicate the continued importance of feed costs to poultry production and of technology as expressed by the stochastic trend variable. However, seasonal influences appear to have become less important, since the seasonal component was not statistically significant.

Simulations are widely used to teach economic principles and to provide students experience in decision making. This paper describes and evaluates a simulation exercise that helps students understand public policy impacts in a multistage market. Student teams of producers, marketers, and processors use information on costs and demand in negotiations to determine prices and quantities. Selected public policies such as marketing orders with price discrimination are implemented and analyzed. The simulation exercise improved student understanding of marketing orders and policy impacts on prices, quantities, and profits in a multistage market. Financial outcomes in the simulation were related to student learning as evidenced by exam scores.

This paper estimates welfare losses in thirty-eight U.S. food and tobacco industries at the four-digit SIC level, then relates such losses to market structure and conduct variables to identify the welfare loss determinants. Empirical findings indicate that these losses are higher in markets characterized by high export intensity, high advertising expenditures, economies of scale, mergers and acquisitions, and market concentration. In addition, losses are larger in industries that sell finished consumer products and face lower import competition.

Recent studies have investigated the efficiencies of policies that use several policy instruments simultaneously (for example, a policy that uses a production subsidy combined with a production quota). Several studies of very specific cases find that optimal combination of two policy instruments is more efficient than optimal independent use of either. In this note we demonstrate using set theory and maximization theory, that all such specific results are examples of a more general result, which is that by combining m instruments efficiently, a government can always be at least as efficient as when using a subset of those m instruments. This result holds for any of the several definitions of “efficiency” in the literature.

Stochastic simulation and generalized stochastic dominance are used to compare the risk-return properties of the Chicago Mercantile Exchange feeder cattle futures contract with those of the feeder cattle put option contract. Cash marketing, futures, and option strategies are analyzed for four backgrounding systems common to the mid-south region of the United States. The results show that at-the-money put option strategies dominate corresponding futures contract strategies according to generalized stochastic dominance. This implies that at-the-money put option contracts are superior to feeder cattle futures contracts for risk-averse backgrounders in the mid-south region of the United States.