期刊名称：Journal of Agricultural and Resource Economics
印刷版ISSN：1068-5502
出版年度：2018
卷号：43
期号：2
页码：172-194
出版社：WAEA
摘要：Many invasive and opportunistic pests cause multiple, interdependent adverse outcomes onagricultural production. Often, however, these impacts are modeled independently, which can biasempirical inferences and contribute to inaccurate recommendations. We use a copula function tomore accurately model the joint behavior and provide an empirical example of its application toassess the impacts of the wheat stem sawfly (WSS).We use a unique farm-level dataset to estimatethe expected losses associated with WSS and then evaluate two popular WSS managementstrategies. We find that strategies minimizing long-run infestation levels are preferred to thosethat seek to maximize yield potential in exchange for higher risk of intertemporal infestation.
