We utilize an agricultural model that uses crop/weather relationships at the county resolution and fits robust distributions that take into account the impact that weather has on crop production. Once the crop insurance policy conditions and prices are applied to the modeled county yield...

A survey of organic grain and oilseed producers in Iowa, Minnesota and Wisconsin was conducted to collect information about their demographic characteristics, production and price risk management strategies, yields and losses, and crop insurance decisions. The data are analyzed using a discrete...

A framework is developed to examine organic crop insurance established by the Risk Management Agency (RMA). Given that 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...