| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17006 |
| DP17006 When and Why Do Buyers Rate in Online Markets? | |
| Konrad O Stahl; Tobias Klein; Xiang Hui | |
| 发表日期 | 2022-02-04 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Online ratings play an important role in many markets. We study the often disputed information content of these ratings, by proposing a reduced-form Bayesian model of the typical buyer’s rating decision. Our empirical evidence based on eBay raw data is in line with even intricate predictions from it. We thus have good reasons to calibrate the model to moments of the data. Our simulations suggest that the rating record reveals the seller’s type after about 100 transactions, or 65-70 ratings. |
| 主题 | Industrial Organization |
| 关键词 | Online markets Rating Reputation |
| URL | https://cepr.org/publications/dp17006-0 |
| 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/545952 |
| 推荐引用方式 GB/T 7714 | Konrad O Stahl,Tobias Klein,Xiang Hui. DP17006 When and Why Do Buyers Rate in Online Markets?. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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。
