Arbeitspapier
Prime Locations
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 away 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.
- Sprache
-
Englisch
- Erschienen in
-
Series: CESifo Working Paper ; No. 8768
- Klassifikation
-
Wirtschaft
Production Analysis and Firm Location: Government Policy
Regional Government Analysis: Land Use and Other Regulations
Regional Development Planning and Policy
- Thema
-
prime services
internal city structure
agent-based model
multiple equilibria and path dependence
transport networks
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ahlfeldt, Gabriel
Albers, Thilo N. H.
Behrens, Kristian
- Ereignis
-
Veröffentlichung
- (wer)
-
Center for Economic Studies and Ifo Institute (CESifo)
- (wo)
-
Munich
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Ahlfeldt, Gabriel
- Albers, Thilo N. H.
- Behrens, Kristian
- Center for Economic Studies and Ifo Institute (CESifo)
Entstanden
- 2020
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