揭开佩尔茨曼效应的神秘面纱:代理人类型的重要性

IF 0.4 Q3 LAW
Konrad Grabiszewski, A. Horenstein
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引用次数: 0

摘要

摘要 佩尔兹曼效应(Peltzman effect)认为,实施安全措施会促使代理人减少努力,以至于这些措施适得其反。本文强调了在分析安全措施的有效性时将代理类型(技能、属性)包括在内的重要性。利用在线赛车模拟器 iRacing 的数据,我们发现发现佩尔兹曼效应完全归因于遗漏变量偏差;具体来说,就是遗漏了捕捉代理人类型的变量。此外,我们的数据还证明,增强类型(提高技能)可提高安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unraveling the Peltzman Effect: The Significance of Agent’s Type
Abstract The Peltzman effect posits that implementing safety measures incentivizes agents to reduce their effort to a degree where these measures become counterproductive. This paper emphasizes the significance of including the agent’s type (skills, attributes) when analyzing the effectiveness of safety measures. Using data from iRacing, an online racing simulator, we find that the detection of the Peltzman effect is solely attributed to the omitted variable bias; specifically, the omission of a variable capturing the agent’s type. Additionally, our data demonstrates that enhancing types (increasing skills) leads to safety improvements.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
11
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