The successful expansion of the U.S crop insurance program has not eliminated ad hoc disaster assistance. An alternative currently being explored by Congress in preparation of the 2008 farm bill is a standing disaster relief program. One form such a program could take can be found in the area...

The production literature has shown that inputs such as fertilizer can be defined as risk-increasing. However, farmers also consistently overapply nitrogen. A model of optimal input use under uncertainty is used to address this paradox. Using experimental data, a stochastic production...

A framework is developed to examine organic crop insurance established by the Risk Management Agency (RMA). Given that the RMA links organic and conventional crop prices, the model is calibrated to reflect both markets to illustrate the impacts that pricing has on insurance coverage. Findings...

Effects of sampling error in estimation of farmers’ mean yields for crop insurance purposes and their implications for actuarial soundness are explored using farm-level corn yield data in Iowa. Results indicate that sampling error, combined with nonlinearities in the indemnity function,...

The Japanese pork market is protected by a complex set of restrictions, including a variable levy and an import tariff. The combination of these policies distorts the quantity, price, and form of Japanese pork imports. An important issue relevant to the liberalization of the Japanese pork market...

Estimation risk occurs when parameters relevant for decision making are uncertain. Bayes'Â’ criterion is consistent with expected-utility maximization in the presence of estimation risk. This article examines optimal (BayesÂ’') land allocations and land allocations obtained using the...

A split-valuation method is developed and implemented to elicit the willingness to pay to consume- or avoid consuming- a product of ambiguous quality. The split-valuation method uses experimental auction markets to separate and value the positive and negative attributes of the ambiguous good....