| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17126 |
| DP17126 A granular spatial model | |
| Gabriel Ahlfeldt; Thilo Albers | |
| 发表日期 | 2022-03-22 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | We develop a granular spatial model (GSM) which introduces indivisible workers and firms into the canonical quantitative urban model. Assortative matching between heterogeneous employers and employees leads to the formation of large granular firms, which generates realistic agglomeration patterns with many empty locations and a few extremely dense ones, even with flat location fundamentals. This feature makes the GSM particularly suitable for the study of multiple equilibria and the long-run effects of temporary spatial shocks such as natural disasters or place-based policies. As almost all firms are inframarginal in the GSM, especially the most productive ones in the most dense locations, place-based policies become `place-based lotteries': their expected payoff critically hinges on the probability to attract a few large firms. We illustrate these insights using as an example the spectacular recent rise of Chicago's Fulton Market district west of the Loop. |
| 主题 | International Trade and Regional Economics ; Labour Economics ; Public Economics |
| 关键词 | Internal city structure Granular spatial model Multiple equilibria Place-based policies |
| URL | https://cepr.org/publications/dp17126 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546106 |
| 推荐引用方式 GB/T 7714 | Gabriel Ahlfeldt,Thilo Albers. DP17126 A granular spatial model. 2022. |
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