| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13784 |
| 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 |
| URL | https://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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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