| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27287 |
| 来源ID | Working Paper 27287 |
| Spatial Economics for Granular Settings | |
| Jonathan I. Dingel; Felix Tintelnot | |
| 发表日期 | 2020-06-01 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We examine the application of quantitative spatial models to the growing body of fine spatial data used to study economic outcomes for regions, cities, and neighborhoods. In “granular” settings where people choose from a large set of potential residence-workplace pairs, idiosyncratic choices affect equilibrium outcomes. Using both Monte Carlo simulations and event studies of neighborhood employment booms, we demonstrate that calibration procedures that equate observed shares and modeled probabilities perform very poorly in such settings. We introduce a general-equilibrium model of a granular spatial economy. Applying this model to Amazon's proposed HQ2 in New York City reveals that the project's predicted consequences for most neighborhoods are small relative to the idiosyncratic component of individual decisions in this setting. We propose a convenient approximation for researchers to quantify the “granular uncertainty” accompanying their counterfactual predictions. |
| 主题 | Econometrics ; Estimation Methods ; International Economics ; Trade ; Regional and Urban Economics ; Regional Economics |
| URL | https://www.nber.org/papers/w27287 |
| 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/584958 |
| 推荐引用方式 GB/T 7714 | Jonathan I. Dingel,Felix Tintelnot. Spatial Economics for Granular Settings. 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 | ||
| w27287.pdf（1416KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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