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.