Dynamic Random Utility Modeling: A Monte Carlo Analysis
Dynamic Random Utility Modeling: A Monte Carlo Analysis
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动态随机效用建模：蒙特卡罗分析
DOI：
10.1111/j.1467-8276.2006.00900.x
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
K. Schnier
中科院分区：
文献类型：
--
作者：
R. Hicks;K. Schnier
商业捕鱼的应用研究在很大程度上忽略了重复地点选择的跨期方面。对于许多渔场来说，渔民可能会选择动态最优的巡航轨迹，而不是短视的日常策略，而忽略这些因素的模型可能会导致参数估计有偏差和政策指导不佳。开发了一种动态随机实用新型，该实用新型利用与静态选址模型相同的信息，但植根于动态优化原则。使用蒙特卡罗分析，我们评估了该估计器的性能，与各种模拟渔业类型的静态模型相比。
Applied studies of commercial fishing have largely ignored the intertemporal aspects of repeated site choices. For many fisheries, fishermen might choose a dynamically optimal cruise trajectory rather than myopic day-to-day strategies and a model that ignores these considerations will likely lead to biased parameter estimates and poor policy guidance. A dynamic random utility model is developed that utilizes the same information as static site-choice models but is entrenched in the principles of dynamic optimization. Using Monte Carlo analysis, we evaluate the performance of this estimator as compared to the static model for a variety of simulated fishery types.