Asymmetric space market adjustment in the London office market

[thumbnail of 0708.pdf]
Preview
Text - Published Version
· Please see our End User Agreement before downloading.
| Preview

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Hendershott, P. H., Lizieri, C. M. and MacGregor, B. D., (2008) Asymmetric space market adjustment in the London office market. Working Papers in Real Estate & Planning . 07/08. Working Paper. University of Reading, Reading. pp34.

Abstract/Summary

Models of the City of London office market are extended by considering a longer time series of data, covering two cycles, and by explicit modeling of asymmetric rental response to supply and demand model. A long run structural model linking demand for office space, real rental levels and office-based employment is estimated and then rental adjustment processes are modeled using an error correction model framework. Adjustment processes are seen to be asymmetric, dependent both on the direction of the supply and demand shock and on the state of the rental market at the time of the shock. A complete system of equations is estimated: unit shocks produce oscillations but there is a return to a steady equilibrium state in the long run.

Item Type Report (Working Paper)
URI https://reading-clone.eprints-hosting.org/id/eprint/27041
Divisions Henley Business School > Real Estate and Planning
Publisher University of Reading
Publisher Statement The copyright of each working paper remains with the author. If you wish to quote from or cite any paper please contact the appropriate author; in some cases a more recent version of the paper may have been published elsewhere.
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar