G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13784
DP13784 Effective policies and social norms in the presence of driverless cars: Theory and experiment
Antonio Cabrales; Ryan Kendall; Anxo Sánchez
发表日期2019-06-06
出版年2019
语种英语
摘要We consider a situation where driverless cars operate on the same roads as human-driven cars. What policies effectively discourage unsafe (fast) drivers in this mixed-agency environment? We develop a game theoretic model where driverless cars are the slowest and safest choice whereas faster driving speeds lead to higher potential payoffs but higher probabilities of accidents. Faster speeds also have a negative externality on the population. The model is used to create four experimental policy conditions. We find that the most effective policy is a mechanism where the level of punishment (to fast drivers) is determined endogenously within the driving population.
主题Industrial Organization ; Labour Economics ; Public Economics
URLhttps://cepr.org/publications/dp13784
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542653
推荐引用方式
GB/T 7714
Antonio Cabrales,Ryan Kendall,Anxo Sánchez. DP13784 Effective policies and social norms in the presence of driverless cars: Theory and experiment. 2019.
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