| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w17385 |
| 来源ID | Working Paper 17385 |
| Learning from Seller Experiments in Online Markets | |
| Liran Einav; Theresa Kuchler; Jonathan D. Levin; Neel Sundaresan | |
| 发表日期 | 2011-09-01 |
| 出版年 | 2011 |
| 语种 | 英语 |
| 摘要 | The internet has dramatically reduced the cost of varying prices, displays and information provided to consumers, facilitating both active and passive experimentation. We document the prevalence of targeted pricing and auction design variation on eBay, and identify hundreds of thousands of experiments conducted by sellers across a wide array of retail products. We show how this type of data can be used to address questions about consumer behavior and market outcomes, and provide illustrative results on price dispersion, the frequency of over-bidding, the choice of reserve prices, "buy now" options and other auction design parameters, and on consumer sensitivity to shipping fees. We argue that leveraging the experiments of market participants takes advantage of the scale and heterogeneity of online markets and can be a powerful approach for testing and measurement. |
| 主题 | Econometrics ; Experimental Design ; Microeconomics ; Market Structure and Distribution ; Industrial Organization ; Market Structure and Firm Performance ; Industry Studies |
| URL | https://www.nber.org/papers/w17385 |
| 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/575059 |
| 推荐引用方式 GB/T 7714 | Liran Einav,Theresa Kuchler,Jonathan D. Levin,et al. Learning from Seller Experiments in Online Markets. 2011. |
| 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 | ||
| w17385.pdf（632KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
