Author
Wilson, William W.
All major exporting countries of agricultural commodities have some form of credit guarantee program. As the importance of credit programs escalates, it is incumbent on policy makers to examine the value of their program relative to those of competitors. In this study, a model based on option pricing theory was developed to estimate the value of credit guarantees extended to importers and applied to U.S. and competing countries’ programs. The Canadian guarantee has the lowest implicit value, followed by the U.S., Australian, and French guarantees. French guarantees had the highest implicit value due to higher coverage for interest and freight and insurance.
In the late 1980s, grain-hauling railroads began offering alternatives that have made shipping decisions more strategic. Shippers now confront alternatives ranging from nearby and unguaranteed ordering to various durations of forward and guaranteed shipment. Each has varying penalties for cancellation and payments from the railroad for nonperformance, and differing risks and payoffs. Because of the configuration of choices, shippers confront a portfolio of shipping alternatives. A dynamic stochastic simulation model was developed to analyze alternative strategies. The model includes the effects of uncertainties in tariff rate changes, car premiums, basis levels, forward and spot grain purchases, and receiving railcars under each of three alternatives. Shipping demand is determined by inter-month commodity price differences, carrying costs, transport costs, and storage capacity. Considering these factors, the shipper chooses grain sales and shipping strategies that maximize net payoffs and confronts a tradeoff between expected profits and risk.
Changes in policy, institutional and competitive environments have led to increased trade and a rise in trade tensions in the Canada-U.S. barely market. These tensions stem from policies and marketing institutions that have evolved independently in these two countries. Results from a detailed spatial equilibrium model of the Canada- U.S. barley market are presented in this article. Simulations are used to quantify effects of U.S. import restrictions; removal of Canadian rail subsidies, different Export Enhancement Program (EEP) subsidy levels, restoration of Conservation Reserve Program (CRP) acres to U.S. production, and retention of Canadian Wheat Board control over Canadian barley sales – all of which affect trade flows in the barley sector.
The transcendental logarithmic function is used to derive demand functions which are estimated for wheat classes imported by Pacific Rim countries. Results indicate substantial differences exist in underlying demand parameters for wheat of different classes as well as across countries. In addition, the expenditure level has important impacts on the distribution of imported wheat classes, and preferences have shifted significantly through time, generally toward higher protein wheats.
This article presents a mathematical programming model of wheat cleaning and blending decisions at a country elevator. Simulations are performed to illustrate the sensitivity of cleaning to selected variables, including the value of screenings, transportation costs, and market discounts for excess dockage. In addition, the model is used to assess the impact of including dockage in the grade standards for wheat.
This study examines three alternative models of correcting for heteroskedasticity in wheat yield: the time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity. Nonnested test results suggest that modeling the sources of heteroskedasticity is the preferred procedure. Including potential sources of heteroskedasticity as explanatory variables removed the heteroskedasticity in the sample wheat yields. The results also suggest that the GARCH specification is a promising model of correcting for heteroskedasticity when the sources cannot be identified. The time trend variance model alone may misspecify the true variance structure.