Journal of Agricultural and Resource Economics
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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 indicate that at the 75% coverage level, the RMA’s fixed-price factor implies an effective coverage ranging from 43% to 105% depending on the ratio of planting-time organic to conventional market prices. Results suggest the RMA’s program is likely to induce adverse selection because the nominal coverage level is likely to deviate substantially from the effective coverage.
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, leads to empirically estimated insurance rates that exceed actuarially fair values. The difference depends on the coverage level, the number of observations used, and the participation strategy followed by farmers. A new estimator for mean yields based on the decomposition of farm yields into systemic and idiosyncratic components is proposed, which could lead to improved rate-making and reduce adverse selection.
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