A Composed‐Error Model for Estimating Pest‐Damage Functions and the Impact of the Western Corn Rootworm Soybean Variant in Illinois
提出一种组合误差模型来估计害虫造成的产量损失，相比传统模型能更准确估计损失方差，并发现西部玉米根虫大豆变种对农民确定性等价收益的影响被传统模型高估了16-26%。
We describe a composed‐error model for estimating pest‐damage functions. The composed‐error model, originally developed to account for statistical noise when estimating technical efficiency, removes the effect of experimental errors when estimating the variance of yield loss from pest damage. As a result, the estimated variance of yield loss is often less than for a conventional model, which has economic implications when the analysis incorporates risk aversion. We find that, depending on the level of risk aversion, the western corn rootworm soybean variant reduces farmer certainty‐equivalent returns 16–26% more with a conventional model than with the composed‐error model.