Interactions within the Office Market Cycle in Great Britain
AbstractThis article adopts an unrestricted vector autoregressive framework methodology to examine the cyclical activity of office property development in Great Britain. The empirical analysis provides supporting evidence for the significant influence of office rents on the rate of new office construction. Service sector output has a small impact on office development, whereas the results do not establish a relationship with employment and interest rates. The significance of rents is attributed to the tenure characteristics of the market and the important role of developers and property investors in initiating office projects in Great Britain. A period of up to three years appears to be the optimum period between the time that rental signals are generated and the time that buildings are put in place, as a response to those signals.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal Journal of Real Estate Research.
Volume (Year): 18 (1999)
Issue (Month): 1 ()
Contact details of provider:
Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
Web page: http://www.aresnet.org/
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
Find related papers by JEL classification:
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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- McCartney, John, 2008. "An Empirical Analysis of Development Cycles in the Dublin Office Market 1976-2007," Quarterly Economic Commentary: Special Articles, Economic and Social Research Institute (ESRI), vol. 2008(4-Winter), pages 68-92.
- Jason Barr, 2010.
"Skyscrapers and the Skyline: Manhattan, 1895-2004,"
Real Estate Economics,
American Real Estate and Urban Economics Association, vol. 38(3), pages 567-597.
- Barrett, Alan & Kearney, Ide & Goggin, Jean, 2008. "Quarterly Economic Commentary, Winter 2008," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20084.
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