It is often difficult to determine the extent to which observed output gains are due to a new technology itself, rather than to the skill of the farmer or the quality of the plot on which the new technology is tried. This attribution problem becomes especially important when technologies are not...

Recently there is much interest among horticultural producers concerning the marketing of organically- and locally- produced food. Here we developed a consumer survey that asked respondents to choose an applesauce product from a list of products differentiated by price and four attributes. The...

A rational expectations storage model is used to simulate monthly corn prices, which are used to evaluate marketing strategies to manage price risk. The data are generated and analyzed in two formats: for long-run outcomes over 10,000 “years” of monthly prices and for 10,000 cases of 40-year...

This paper derives a dynamic version of the international CAPM. The exchange-rate risk factors and intertemporal hedging factors are derived endogenously in a model that builds upon Campbell (1993). We provide a theoretical foundation for empirical risk factors often used in international asset...

A pollution reduction program is designed where information about both techno logy and risk preferences is asymmetric. Program costs and the distribution of payments depend on the amount of information known to the policy maker. Empirically testable conditions for selfselection are derived; the...

Major sources of variability in net farm income on New York dairy farms over the past 10 years are identified using variance decomposition methods. The most important source of income variability is the fluctuation in milk prices, followed closely by year-to-year variation in the quantity of...

Loan records and lender credit risk classifications are used to examine agricultural credit risk migration. The results include estimates of the likelihood of borrowers transitioning among five credit risk tiers. The paper also examines factors that influence or predict credit risk migration and...