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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w26964 |
来源ID | Working Paper 26964 |
Technological Innovation and Labor Income Risk | |
Leonid Kogan; Dimitris Papanikolaou; Lawrence D. W. Schmidt; Jae Song | |
发表日期 | 2020-04-13 |
出版年 | 2020 |
语种 | 英语 |
摘要 | Using administrative data from the United States, we document novel stylized facts regarding technological innovation and the riskiness of labor income. Higher rates of industry innovation are associated with significant increases in labor earnings for top workers. Decomposing this result, we find that own firm innovation is associated with a modest increase in the mean, but also variance, of worker earnings growth. Innovation by competing firms is related to lower, and more negatively skewed, future earnings. We construct a structural model featuring creative destruction and displacement of human capital that replicates these patterns. In the model, higher rates of innovation by competing firms increases the likelihood that both the worker and the incumbent producer are displaced. By contrast, a higher rate of innovation by the worker's own firm increases profits, but is a mixed blessing for workers, as it increases odds that the skilled worker is no longer a good match to the new technology. Estimating the parameters of the model using indirect inference, we find significant welfare losses and hedging demand against innovation shocks. Consistent with our model, we find that these left tail effects are more pronounced for process improvements, novel innovations, and are concentrated in movers rather than continuing workers. |
主题 | Macroeconomics ; Consumption and Investment ; Financial Economics ; Financial Markets ; Portfolio Selection and Asset Pricing |
URL | https://www.nber.org/papers/w26964 |
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/584637 |
推荐引用方式 GB/T 7714 | Leonid Kogan,Dimitris Papanikolaou,Lawrence D. W. Schmidt,et al. Technological Innovation and Labor Income Risk. 2020. |
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 | ||
w26964.pdf(1158KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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