| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30345 |
| 来源ID | Working Paper 30345 |
| Overconfidence and Technology Adoption in Health Care | |
| Diego A. Comin; Jonathan S. Skinner; Douglas O. Staiger | |
| 发表日期 | 2022-08-15 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Variation in technology adoption is a key driver of differences in productivity. Previous studies sought to explain variations in technology adoption by heterogeneity in profitability, costs of adoption, or other factors. Less is known about how adoption is affected by bias in the perceived skill to implement the technology. We develop a Bayesian framework in which the use of the technology depends on perceived skill, while the outcomes from using it depend on actual skill. We study the determinants of adoption in the case of implantable cardiac defibrillators (ICDs) for which we document large differences across hospitals in the rate of adoption between 2002-2006, and a strong reversal from 2006-2013. We find that perception bias explains two-thirds of the cross-hospital variation in ICD use. A dynamic version of the model with learning about bias predicts accurately the subsequent decline in ICD use between 2006-2013. These results suggest an important role for misperception in explaining the wide variation in the adoption of new technologies. |
| 主题 | Health, Education, and Welfare ; Health ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w30345 |
| 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/588018 |
| 推荐引用方式 GB/T 7714 | Diego A. Comin,Jonathan S. Skinner,Douglas O. Staiger. Overconfidence and Technology Adoption in Health Care. 2022. |
| 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 | ||
| w30345.pdf（1558KB） | 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。
