| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26296 |
| 来源ID | Working Paper 26296 |
| Too Much Data: Prices and Inefficiencies in Data Markets | |
| Daron Acemoglu; Ali Makhdoumi; Azarakhsh Malekian; Asuman Ozdaglar | |
| 发表日期 | 2019-09-23 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | When a user shares her data with an online platform, she typically reveals relevant information about other users. We model a data market in the presence of this type of externality in a setup where one or multiple platforms estimate a user’s type with data they acquire from all users and (some) users value their privacy. We demonstrate that the data externalities depress the price of data because once a user’s information is leaked by others, she has less reason to protect her data and privacy. These depressed prices lead to excessive data sharing. We characterize conditions under which shutting down data markets improves (utilitarian) welfare. Competition between platforms does not redress the problem of excessively low price for data and too much data sharing, and may further reduce welfare. We propose a scheme based on mediated data-sharing that improves efficiency. |
| 主题 | Microeconomics ; Welfare and Collective Choice ; Economics of Information ; Industrial Organization ; Industry Studies |
| URL | https://www.nber.org/papers/w26296 |
| 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/583968 |
| 推荐引用方式 GB/T 7714 | Daron Acemoglu,Ali Makhdoumi,Azarakhsh Malekian,et al. Too Much Data: Prices and Inefficiencies in Data Markets. 2019. |
| 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 | ||
| w26296.pdf（917KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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