Ahlfeldt, Gabriel Peter Gabriel Martins 
ORCID: 0000-0001-5664-3230, Albers, Thilo Nils Hendrix and Behrens, Kristian
(2020)
Prime locations.
CEP Discussion Papers (CEPDP1725).
London School of Economics and Political Science. Centre for Economic Performance, London, UK.
![[img]](http://eprints.lse.ac.uk/style/images/fileicons/text.png) |
Text
- Published Version
Download (17MB) |
Abstract
We harness big data to detect prime locations - large clusters of knowledge-based tradable services - in 125 global cities and track changes in the within-city geography of prime service jobs over a century. Historically smaller cities that did not develop early public transit networks are less concentrated today and have prime locations farther from their historic cores. We rationalize these findings in an agent-based model that features extreme agglomeration, multiple equilibria, and path dependence. Both city size and public transit networks anchor city structure. Exploiting major disasters and using a novel instrument - subway potential - we provide causal evidence for these mechanisms and disentangle size- from transport network effects.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | https://cep.lse.ac.uk/_new/publications/discussion... |
| Additional Information: | © 2020 The Author(s) |
| Divisions: | Geography & Environment Economic History Centre for Economic Performance |
| Subjects: | H Social Sciences > HC Economic History and Conditions H Social Sciences > HT Communities. Classes. Races |
| JEL classification: | R - Urban, Rural, and Regional Economics > R3 - Production Analysis and Firm Location > R38 - Government Policies; Regulatory Policies R - Urban, Rural, and Regional Economics > R5 - Regional Government Analysis > R52 - Land Use and Other Regulations R - Urban, Rural, and Regional Economics > R5 - Regional Government Analysis > R58 - Regional Development Policy |
| Date Deposited: | 18 Jan 2021 12:42 |
| Last Modified: | 11 Dec 2024 19:37 |
| URI: | http://eprints.lse.ac.uk/id/eprint/108470 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics