渔业风险感知与非贝叶斯学习过程

A. Marvasti
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引用次数: 0

摘要

本研究利用缅因州美国龙虾渔业的数据,检验了安全信念的合理性以及风险感知与实际工作相关身体风险水平之间的相关性。为了避免测量误差,我应用工具变量来估计风险感知和船长的补偿。用教育成就作为认知能力的代表,我发现没有证据支持风险感知和认知能力之间的相关性。虽然船长将实际商业捕鱼事故的信息纳入其概率判断,但我发现有证据表明,龙虾渔业的学习过程是非线性的,并不遵循预期的贝叶斯线性框架。此外,研究结果表明,随着新信息的到来,调整过程会减慢。我不能确定渔民是否使用正常化策略来最小化风险感知,作为应对威胁的心理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Perceptions in Fisheries and Non-Bayesian Learning Process
This study examines the rationality of safety beliefs and the correlation between risk perception and actual level of job-related physical risk using data from the Maine’s American lobster fishery. To avoid measurement errors, I applied the instrumental variables to estimate risk perception and the compensation for the captain. Using educational achievement as a proxy for cognitive ability, I find no evidence supporting a correlation between risk perception and cognitive ability. While captains incorporate information on actual commercial fishing accidents to form their probabilistic judgments, I find evidence that learning process is non-linear in lobster fishery and does not follow an expected Bayesian linear framework. Also, the results suggest that the adjustment process slows down as the new information arrives. I could not confirm that fishermen use normalization strategy to minimize risk perception as a psychological method of coping with the threat.
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