| 来源类型 | Working Paper
|
| 规范类型 | 报告
|
| DOI | 10.3386/w24239
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| 来源ID | Working Paper 24239
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| AI, Labor, Productivity and the Need for Firm-Level Data |
| Robert Seamans; Manav Raj
|
| 发表日期 | 2018-01-22
|
| 出版年 | 2018
|
| 语种 | 英语
|
| 摘要 | We summarize existing empirical findings regarding the adoption of robotics and AI and its effects on aggregated labor and productivity, and argue for more systematic collection of the use of these technologies at the firm level. Existing empirical work primarily uses statistics aggregated by industry or country, which precludes in-depth studies regarding the conditions under which robotics and AI complement or are substituting for labor. Further, firm-level data would also allow for studies of effects on firms of different sizes, the role of market structure in technology adoption, the impact on entrepreneurs and innovators, and the effect on regional economies amongst others. We highlight several ways that such firm-level data could be collected and used by academics, policymakers and other researchers. |
| 主题 | Other
; History of Economic Thought
; Development and Growth
; Innovation and R&
; D
; Growth and Productivity
|
| URL | https://www.nber.org/papers/w24239
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/581912
|
推荐引用方式
GB/T 7714 |
Robert Seamans,Manav Raj. AI, Labor, Productivity and the Need for Firm-Level Data. 2018.
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文件名：
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w24239.pdf
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格式：
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Adobe PDF
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