| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22368 |
| 来源ID | Working Paper 22368 |
| Estimating Cross-Industry Cross-Country Interaction Models Using Benchmark Industry Characteristics | |
| Antonio Ciccone; Elias Papaioannou | |
| 发表日期 | 2016-06-27 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Empirical cross-industry cross-country models are applied widely in economics, for example to investigate the determinants of economic growth or international trade. Estimation generally relies on US proxies for unobservable technological industry characteristics, for example industries' dependence on external finance or relationship-specific inputs. We examine the properties of the estimator and find that estimates can be biased towards zero (attenuated) or away from zero (amplified), depending on how technological similarity with the US covaries with other country characteristics. We also develop an alternative estimator that yields a lower bound on the true effect in cross-industry cross-country models of comparative advantage. |
| 主题 | International Economics ; Trade ; Financial Economics ; Corporate Finance ; Development and Growth ; Growth and Productivity |
| URL | https://www.nber.org/papers/w22368 |
| 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/580041 |
| 推荐引用方式 GB/T 7714 | Antonio Ciccone,Elias Papaioannou. Estimating Cross-Industry Cross-Country Interaction Models Using Benchmark Industry Characteristics. 2016. |
| 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 | ||
| w22368.pdf（375KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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