IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v29y1997i3p485-500.html
   My bibliography  Save this article

The Stylised Facts of the UK Commercial Building Cycles

Author

Listed:
  • A J McGough

    (Faculty of Business Finance, Southampton Institute, East Park Terrace, Southampton SO14 0YN, England)

  • S Tsolacos

    (Centre for Spatial and Real Estate Economics, Department of Economics, University of Reading, Whiteknights, Reading RG6 6AW England)

Abstract

In the present study we undertake a statistical analysis of the cyclical properties of certain economic, financial, and real property-market variables and attempt to establish the stylised facts in relation to the office, industrial, and retail property cycle in the United Kingdom. We build upon the methodology which has been adopted in modern business-cycle research to confirm the cyclical regularities of aggregate variables and business fluctuations across countries and over time. The results of this study establish for certain variables the presence of relative cyclical movements over the phases of the property cycles which conform to theoretical intuition. They also identify cyclical irregularities across property sectors, which the existing property-cycle literature would need to address.

Suggested Citation

  • A J McGough & S Tsolacos, 1997. "The Stylised Facts of the UK Commercial Building Cycles," Environment and Planning A, , vol. 29(3), pages 485-500, March.
    • Handle: RePEc:sae:envira:v:29:y:1997:i:3:p:485-500
    DOI: 10.1068/a290485
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a290485
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a290485?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Henry O. Pollakowski & Susan M. Wachter & Lloyd Lynford, 1992. "Did Office Market Size Matter in the 1980s? A Time‐Series Cross‐Sectional Analysis of Metropolitan Area Office Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(2), pages 302-324, June.
    2. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    3. Balke, Nathan S. & Fomby, Thomas B., 1991. "Shifting trends, segmented trends, and infrequent permanent shocks," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 61-85, August.
    4. R Barras & D Ferguson, 1987. "Dynamic Modelling of the Building Cycle: 2. Empirical Results," Environment and Planning A, , vol. 19(4), pages 493-520, April.
    5. R Barras & D Ferguson, 1985. "A Spectral Analysis of Building Cycles in Britain," Environment and Planning A, , vol. 17(10), pages 1369-1391, October.
    6. R Barras & D Ferguson, 1987. "Dynamic Modelling of the Building Cycle: 1. Theoretical Framework," Environment and Planning A, , vol. 19(3), pages 353-367, March.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. Bischoff, Charles W, 1970. "A Model of Nonresidential Construction in the United States," American Economic Review, American Economic Association, vol. 60(2), pages 10-17, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Murray, Christian J. & Nelson, Charles R., 2000. "The uncertain trend in U.S. GDP," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 79-95, August.
    2. Yanfang Sun & Haiyan Xie & Xirong Niu, 2019. "Characteristics of Cyclical Fluctuations in the Development of the Chinese Construction Industry," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    3. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    4. Richard H. Clarida & Mark P. Taylor, 2003. "Nonlinear Permanent - Temporary Decompositions in Macroeconomics and Finance," Economic Journal, Royal Economic Society, vol. 113(486), pages 125-139, March.
    5. Tan, Zhengxun & Liu, Juan & Chen, Juanjuan, 2021. "Detecting stock market turning points using wavelet leaders method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    6. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2008. "Are output growth-rate distributions fat-tailed? some evidence from OECD countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 639-669.
    7. Myroslav Pidkuyko, 2014. "Dynamics of Consumption and Dividends over the Business Cycle," CERGE-EI Working Papers wp522, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 363-393, March.
    9. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    10. Clarida, Richard H. & Sarno, Lucio & Taylor, Mark P. & Valente, Giorgio, 2003. "The out-of-sample success of term structure models as exchange rate predictors: a step beyond," Journal of International Economics, Elsevier, vol. 60(1), pages 61-83, May.
    11. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
    12. Siem Jan Koopman & Soon Yip Wong, 2006. "Extracting Business Cycles using Semi-parametric Time-varying Spectra with Applications to US Macroeconomic Time Series," Tinbergen Institute Discussion Papers 06-105/4, Tinbergen Institute.
    13. Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.
    14. Gregory, Allan W. & Smith, Gregor W., 1996. "Measuring business cycles with business-cycle models," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1007-1025.
    15. AKA, Bédia F., 2009. "Business Cycle And Sectoral Fluctuations: A Nonlinear Model For Côte D’Ivoire," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 9(1), pages 111-126.
    16. Moolman, Elna, 2004. "A Markov switching regime model of the South African business cycle," Economic Modelling, Elsevier, vol. 21(4), pages 631-646, July.
    17. John Henneberry & Tony McGough & Fotis Mouzakis, 2005. "The Impact of Planning on Local Business Rents," Urban Studies, Urban Studies Journal Limited, vol. 42(3), pages 471-502, March.
    18. Rena Sivitanidou, 1999. "Does the Theory of Irreversible Investments Help Explain Movements in Office-Commerical Construction?," Working Paper 8659, USC Lusk Center for Real Estate.
    19. Kozicki, Sharon & Tinsley, P A, 1998. "Moving Endpoints and the Internal Consistency of Agents' Ex Ante Forecasts," Computational Economics, Springer;Society for Computational Economics, vol. 11(1-2), pages 21-40, April.
    20. Sui Luo & Yu‐Fan Huang & Richard Startz, 2021. "Are Recoveries all the Same: GDP and TFP?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1111-1129, October.

    More about this item

    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:sae:envira:v:29:y:1997:i:3:p:485-500. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.