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Construction Management and Economics Volume 29, 2011 - Issue 9
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Articles

Forecasting construction demand: a vector error correction model with dummy variables

Heng Jiang School of Architecture and Building, Deakin University, 1 Gehringhap Street, Geelong, 3216, Australia
&
Chunlu Liu School of Architecture and Building, Deakin University, 1 Gehringhap Street, Geelong, 3216, AustraliaCorrespondence[email protected]
Pages 969-979 | Received 12 Apr 2011, Accepted 03 Aug 2011, Published online: 14 Oct 2011

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Henry J. Liu, Peter E.D. Love, Le Ma & Michael C.P. Sing. (2021) Predicting production-output performance within a complex business environment: from singular to multi-dimensional observations in evaluation. International Journal of Production Research 59:24, pages 7390-7399.
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Michael T. Dugan, Bradley T. Ewing & Mark A. Thompson. (2016) Dynamics of New Building Construction Costs: Implications for Forecasting Escalation Allowances. Journal of Cost Analysis and Parametrics 9:3, pages 201-207.
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Heng Jiang & Chunlu Liu. (2015) Identifying determinants of demand for construction using an econometric approach. International Journal of Strategic Property Management 19:4, pages 346-357.
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Heng Jiang & Chunlu Liu. (2014) A panel vector error correction approach to forecasting demand in regional construction markets. Construction Management and Economics 32:12, pages 1205-1221.
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Heng Jiang, Youquan Xu & Chunlu Liu. (2014) Market effects on forecasting construction prices using vector error correction models. International Journal of Construction Management 14:2, pages 101-112.
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Xian Zheng, Kwong Wing Chau & Eddie Chi-Man Hui. (2012) The impact of property price on construction output. Construction Management and Economics 30:12, pages 1025-1037.
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Eddie Chi-Man Hui, Tony K.K. Lo, Jia Chen & Ziyou Wang. (2012) Housing and consumer markets in urban China. Construction Management and Economics 30:2, pages 117-131.
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Yoichi Tsuchiya. Rationality and information advantage of the Japanese government’s construction forecasts over economic development. Construction Management and Economics 0:0, pages 1-24.
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