IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v28y2010i3p241-254.html
   My bibliography  Save this article

Reliability of the Box-Jenkins model for forecasting construction demand covering times of economic austerity

Author

Listed:
  • Ryan Fan
  • S. Thomas Ng
  • James Wong

Abstract

As a driving engine for growth, the construction industry plays an important role in a country's economic development process. Despite that, the industry is vulnerable to cyclical oscillation and at times more fundamental changes in work volume when the regional or global economy is hit by unforeseen events. In order to formulate appropriate policies and directions to help ease the impact of a fluctuating volume of construction work, a model that can reliably predict the work of various construction sectors after any economic turbulence would be extremely useful. In this study, the Box-Jenkins approach is used for model development due to its simplicity and sound theoretical background. The results illustrate that the Box-Jenkins models can reliably predict the medium-term total construction demand and residential demand covering a turbulent period of ups and downs in construction demand. A multiple regression model is also developed to compare against the modelling reliability of the Box-Jenkins model.

Suggested Citation

  • Ryan Fan & S. Thomas Ng & James Wong, 2010. "Reliability of the Box-Jenkins model for forecasting construction demand covering times of economic austerity," Construction Management and Economics, Taylor & Francis Journals, vol. 28(3), pages 241-254.
  • Handle: RePEc:taf:conmgt:v:28:y:2010:i:3:p:241-254
    DOI: 10.1080/01446190903369899
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/01446190903369899
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446190903369899?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Patricia M. Hillebrandt, 2000. "Economic Theory and the Construction Industry," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-37248-1, September.
    2. Mr. Christoph Duenwald, 2000. "Property Prices and Speculative Bubbles: Evidence From Hong Kong SAR," IMF Working Papers 2000/002, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrea Kunnert, 2013. "Baubewilligungen für Wohneinheiten in Österreich: Prognose 2012/13 und regionale Entwicklung 2006/2011. Teilbericht 2," WIFO Studies, WIFO, number 67110, April.
    2. Panova, Yulia & Hilmola, Olli-Pekka, 2015. "Justification and evaluation of dry port investments in Russia," Research in Transportation Economics, Elsevier, vol. 51(C), pages 61-70.
    3. Andrea Kunnert, 2012. "Prognose der Wohnbaubewilligungen für Wohneinheiten in Österreich 2012 und 2013. Teilbericht 1," WIFO Studies, WIFO, number 67109, April.
    4. Michael Klien & Andrea Kunnert, 2014. "Baubewilligungen für Wohneinheiten in Österreich. Prognose 2014 und 2015," WIFO Studies, WIFO, number 58602, April.
    5. Qiance Liu & Litao Liu & Xiaojie Liu & Shenggong Li & Gang Liu, 2021. "Building stock dynamics and the impact of construction bubble and bust on employment in China," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1631-1643, December.
    6. Le Ma & Chunlu Liu, 2014. "Did the late-2000s financial crisis influence construction labour productivity?," Construction Management and Economics, Taylor & Francis Journals, vol. 32(10), pages 1030-1047, October.
    7. Mykhailo LUCHKO & Stanisław SZMITKA & Yuriy PYNDA & Lyudmyla KUTS, 2020. "Expert Analysis And Impact Assessment Of The Construction Sector Enterprises On The Economy: The Experience Of Ukraine," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 133-144, June.
    8. Antti Kurvinen & Arto Saari & Juhani Heljo & Eero Nippala, 2021. "Modeling Building Stock Development," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    9. Dieter Pennerstorfer & Andrea Kunnert & Peter Huber, 2014. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose 2013/2015 – Teilbericht 2," WIFO Studies, WIFO, number 58600, April.
    10. Andrea Kunnert, 2013. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose 2013/14 (Teilbericht 1)," WIFO Studies, WIFO, number 58599, April.
    11. Michael Klien & Andrea Kunnert, 2015. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose 2014 bis 2016," WIFO Studies, WIFO, number 58604, April.
    12. Andrea Kunnert, 2013. "Prognose der Baubewilligungen für Wohneinheiten in Österreich 2013 und 2014. Teilbericht 4," WIFO Studies, WIFO, number 67111, April.
    13. Michael Klien & Andrea Kunnert, 2015. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose 2015/16 und regionale Entwicklung 2009/2014," WIFO Studies, WIFO, number 58605, April.
    14. Dieter Pennerstorfer & Andrea Kunnert & Peter Huber, 2014. "Baubewilligungen für Wohneinheiten in Österreich. Prognose 2014 und 2015 und regionale Entwicklung 2008 bis 2013," WIFO Studies, WIFO, number 58601, April.
    15. Andrea Kunnert, 2011. "Prognose der Baubewilligungen für Wohneinheiten in Österreich 2009 bis 2011," WIFO Studies, WIFO, number 41257, April.
    16. Eda Ustaoglu & Filipe Batista e Silva & Carlo Lavalle, 2020. "Quantifying and modelling industrial and commercial land-use demand in France," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 519-549, January.
    17. Michael Klien & Andrea Kunnert, 2014. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose 2014 und 2015," WIFO Studies, WIFO, number 58603, April.
    18. Andrea Kunnert, 2013. "Baubewilligungen für Wohneinheiten in Österreich: Prognose 2012/2014 und regionale Entwicklung 2006/2011," WIFO Studies, WIFO, number 46678, April.

    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. Clemente De Lucia, 2007. "Did the FED Inflate a Housing Price Bubble? A Cointegration Analysis between the 1980s and the 1990s," ISAE Working Papers 82, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    2. Ferda Halicioglu, 2007. "The demand for new housing in Turkey: an application of ARDL model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 9(1), pages 62-74.
    3. Gabriele Galati & Federica Teppa & Rob Alessie, 2013. "Heterogeneity in house price dynamics," DNB Working Papers 371, Netherlands Central Bank, Research Department.
    4. Danny Myers, 2003. "The future of construction economics as an academic discipline," Construction Management and Economics, Taylor & Francis Journals, vol. 21(2), pages 103-106.
    5. S. Thomas Ng & Ryan Fan & James Wong & Albert Chan & Y. H. Chiang & Patrick Lam & Mohan Kumaraswamy, 2009. "Coping with structural change in construction: experiences gained from advanced economies," Construction Management and Economics, Taylor & Francis Journals, vol. 27(2), pages 165-180.
    6. Alessio Ciarlone, 2015. "House price cycles in emerging economies," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(1), pages 17-52, March.
    7. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    8. Chan Swee Lean, 2001. "Empirical tests to discern linkages between construction and other economic sectors in Singapore," Construction Management and Economics, Taylor & Francis Journals, vol. 19(4), pages 355-363.
    9. Yiu, Matthew S. & Yu, Jun & Jin, Lu, 2013. "Detecting bubbles in Hong Kong residential property market," Journal of Asian Economics, Elsevier, vol. 28(C), pages 115-124.
    10. Ting Lan, 2019. "Intrinsic bubbles and Granger causality in the Hong Kong residential property market," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-15, December.
    11. Alexander Styhre, 2011. "In the circuit of credibility: construction workers and the norms of 'a good job'," Construction Management and Economics, Taylor & Francis Journals, vol. 29(2), pages 199-209.
    12. Mr. Abdelhak S Senhadji & Mr. Charles Collyns, 2002. "Lending Booms, Real Estate Bubbles and the Asian Crisis," IMF Working Papers 2002/020, International Monetary Fund.
    13. Elena IONAȘCU, 2019. "The Dynamic Relationship Between The Residential Real Estate Markets, Macro – Economy And Institutional Development: Evidence From Eu Countries," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 6, pages 75-107.
    14. Seli-super-˙n Gundes, 2011. "Exploring the dynamics of the Turkish construction industry using input-output analysis," Construction Management and Economics, Taylor & Francis Journals, vol. 29(1), pages 59-68.
    15. Eloisa T Glindro & Tientip Subhanij & Jessica Szeto & Haibin Zhu, 2008. "Determinants of house prices in nine Asia-Pacific economies," BIS Working Papers 263, Bank for International Settlements.
    16. S. Thomas Ng & Ryan Fan & James Wong, 2011. "An econometric model for forecasting private construction investment in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 29(5), pages 519-534.
    17. Ms. Deniz O Igan & Mr. Prakash Loungani, 2012. "Global Housing Cycles," IMF Working Papers 2012/217, International Monetary Fund.
    18. Eloisa T Glindro & Tientip Subhanij & Jessica Szeto & Haibin Zhu, 2008. "Are Asia-Pacific Housing Prices Too High For Comfort?," Working Papers 2008-11, Monetary Policy Group, Bank of Thailand.
    19. Gerlach, Stefan & Peng, Wensheng, 2005. "Bank lending and property prices in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 461-481, February.
    20. Yuepeng Cui & Daan Liang & Bradley T. Ewing & Ali Nejat, 2016. "Development, specification and validation of Hurricane Resiliency Index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(3), pages 2149-2165, July.

    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:taf:conmgt:v:28:y:2010:i:3:p:241-254. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.