| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24282 |
| 来源ID | Working Paper 24282 |
| How Artificial Intelligence and Machine Learning Can Impact Market Design | |
| Paul R. Milgrom; Steven Tadelis | |
| 发表日期 | 2018-02-05 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | In complex environments, it is challenging to learn enough about the underlying characteristics of transactions so as to design the best institutions to efficiently generate gains from trade. In recent years, Artificial Intelligence has emerged as an important tool that allows market designers to uncover important market fundamentals, and to better predict fluctuations that can cause friction in markets. This paper offers some recent examples of how Artificial Intelligence helps market designers improve the operations of markets, and outlines directions in which it will continue to shape and influence market design. |
| 主题 | Microeconomics ; Market Structure and Distribution ; Economics of Information ; Industrial Organization ; Market Structure and Firm Performance |
| URL | https://www.nber.org/papers/w24282 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/581954 |
| 推荐引用方式 GB/T 7714 | Paul R. Milgrom,Steven Tadelis. How Artificial Intelligence and Machine Learning Can Impact Market Design. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w24282.pdf（920KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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