| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24416 |
| 来源ID | Working Paper 24416 |
| Monopsony in Online Labor Markets | |
| Arindrajit Dube; Jeff Jacobs; Suresh Naidu; Siddharth Suri | |
| 发表日期 | 2018-03-19 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | On-demand labor platforms make up a large part of the “gig economy.” We quantify the extent of monopsony power in one of the largest on-demand labor platforms, Amazon Mechanical Turk (MTurk), by measuring the elasticity of labor supply facing the requester (employer) using both observational and experimental variation in wages. We isolate plausibly exogenous variation in rewards using a double-machine-learning estimator applied to a large dataset of scraped MTurk tasks. We also re-analyze data from 5 MTurk experiments that randomized payments to obtain corresponding experimental estimates. Both approaches yield uniformly low labor supply elasticities, around 0.1, with little heterogeneity. |
| 主题 | Labor Economics ; Labor Market Structures |
| URL | https://www.nber.org/papers/w24416 |
| 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/582090 |
| 推荐引用方式 GB/T 7714 | Arindrajit Dube,Jeff Jacobs,Suresh Naidu,et al. Monopsony in Online Labor Markets. 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 | ||
| w24416.pdf（669KB） | 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。
