| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30276 |
| 来源ID | Working Paper 30276 |
| Blending Theory and Data: A Space Odyssey | |
| Dave Donaldson | |
| 发表日期 | 2022-07-25 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | This article describes methods used in the field of spatial economics that combine insights from economic theory and evidence from data in order to answer counter- factual questions. I outline a general framework that emphasizes three elements: a specific question to be answered, a set of empirical relationships that can be identified from exogeneity assumptions, and a theoretical model that is used to extrapolate from such empirical relationships to the answer that is required. I then illustrate the application of these elements via a series of twelve examples drawn from the fields of international, regional, and urban economics. These applications are chosen to illustrate the various techniques that researchers use to minimize the theoretical assumptions that are needed to traverse the distance between identified empirical patterns and the questions that need to be answered. |
| 主题 | Other ; History of Economic Thought ; Econometrics ; Estimation Methods ; International Economics ; Regional and Urban Economics |
| URL | https://www.nber.org/papers/w30276 |
| 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/587949 |
| 推荐引用方式 GB/T 7714 | Dave Donaldson. Blending Theory and Data: A Space Odyssey. 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 | ||
| w30276.pdf（225KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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