IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2017_273.html
   My bibliography  Save this paper

A Spatial Analysis of the Central London Office Market

Author

Listed:
  • Qiulin Ke
  • Karen Sieracki
  • Michael White

Abstract

The central London office market has received much attention in the literature. Regarded as a highly liquid and relatively transparent direct commercial real estate market, research has examined, for example, the cyclical nature of the market, market adjustment, the division of the market into submarkets, and the importance of international investment. However, relatively little research has examined spatial patterns of rents and prices. Partly this may reflect limited data for heterogeneous real estate assets. This paper uses transactions data on offices over a long time period and focuses on the main central London office submarkets. Different models are estimated to attempt to capture space and time varying influences on the property market. The results highlight the importance and significance of neighbouring and contiguous influences in real estate pricing. Considering a number of central locations, we find price and distance to be inversely related even across markets which have a high level of accessibility.

Suggested Citation

  • Qiulin Ke & Karen Sieracki & Michael White, 2017. "A Spatial Analysis of the Central London Office Market," ERES eres2017_273, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2017_273
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2017-273
    Download Restriction: no

    File URL: https://eres.architexturez.net/system/files/273.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    London; Offices; Spatial;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arz:wpaper:eres2017_273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.