Asymmetric Space Market Adjustment in the London Office Market
Patric Hendershott,
Colin Lizieri and
Bryan MacGregor
Real Estate & Planning Working Papers from Henley Business School, University of Reading
Abstract:
Earlier estimates of the City of London office market are extended by considering a longer time series of data, covering two cycles, and by explicitly modeling of asymmetric space market responses to employment and supply shocks. A long run structural model linking real rental levels, office-based employment and the supply of office space is estimated and then rental adjustment processes are modeled using an error correction model framework. Rental adjustment is seen to be asymmetric, depending both on the direction of the supply and demand shocks and on the state of the space market at the time of the shock. Vacancy adjustment does not display asymmetries. There is also a supply adjustment equation. Two three-equation systems, one with symmetric rental adjustment and the other with asymmetric adjustment, are subjected to positive and negative shocks to employment. These illustrate differences in the two systems.
Keywords: office market models; rental adjustment; asymmetric responses; vacancy rate (search for similar items in EconPapers)
Pages: 41 pages
Date: 2009
New Economics Papers: this item is included in nep-geo and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.henley.reading.ac.uk/rep/fulltxt/0309.pdf (application/pdf)
Related works:
Working Paper: Asymmetric Space Market Adjustment in the London Office Market (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rdg:repxwp:rep-wp2009-03
Access Statistics for this paper
More papers in Real Estate & Planning Working Papers from Henley Business School, University of Reading Contact information at EDIRC.
Bibliographic data for series maintained by Marie Pearson ().