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Prime locations

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Listed:
  • Ahlfeldt, Gabriel
  • Albers, Thilo
  • Behrens, Kristian

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. Prime services are less spatially concentrated and prime locations are farther away from historic cores in historically smaller cities that did not develop early public transit networks. We rationalize these novel stylized facts empirically and theoretically. External returns to scale give rise to multiple equilibria in the city-internal distribution of prime services. The resilience of historic prime locations in historically large cities originates at least partially from endogenous durable transport networks.

Suggested Citation

  • Ahlfeldt, Gabriel & Albers, Thilo & Behrens, Kristian, 2022. "Prime locations," CEPR Discussion Papers 15470, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:15470
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    References listed on IDEAS

    as
    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    2. Gabriel M. Ahlfeldt & Daniel P. McMillen, 2018. "Tall Buildings and Land Values: Height and Construction Cost Elasticities in Chicago, 1870–2010," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 861-875, December.
    3. Gilles Duranton & J. V. Henderson & William C. Strange (ed.), 2015. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 5, number 5.
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    Cited by:

    1. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "The economics of skyscrapers: A synthesis," Journal of Urban Economics, Elsevier, vol. 129(C).

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    More about this item

    Keywords

    Prime services; Internal city structure; Granular spatial model; Multiple equilibria and path dependence; Transport networks;
    All these keywords.

    JEL classification:

    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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