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Bastos, M F, Ribeiro, F L and Teixeira, J C (2005) Estimating of capital cost of underground car parking projects. Journal of Financial Management of Property and Construction, 10(02), 125–32.

Enshassi, A, Mohamed, S and Madi, I (2005) Factors affecting accuracy of cost estimation of building contracts in the Gaza Strip. Journal of Financial Management of Property and Construction, 10(02), 115–24.

Greenwood, D, Hogg, K and Kan, S (2005) Subcontractors' liability for project delays. Journal of Financial Management of Property and Construction, 10(02), 107–14.

Gruneberg, S and Hughes, W (2005) UK construction orders and output: A comparison of government and commercially available data 1995-2001. Journal of Financial Management of Property and Construction, 10(02), 83–94.

  • Type: Journal Article
  • Keywords: Construction industry econometrics; construction industry activity modelling
  • ISBN/ISSN: 1366-4387
  • URL: https://doi.org/10.1108/13664380580001066
  • Abstract:
    Because of the importance and potential usefulness of construction market statistics to firms and government, consistency between different sources of data is examined with a view to building a predictive model of construction output using construction data alone. However, a comparison of Department of Trade and Industry (DTI) and Office for National Statistics (ONS) series shows that the correlation coefficient (used as a measure of consistency) of the DTI output and DTI orders data and the correlation coefficient of the DTI output and ONS output data are low. It is not possible to derive a predictive model of DTI output based on DTI orders data alone. The question arises whether or not an alternative independent source of data may be used to predict DTI output data. Independent data produced by Emap Glenigan (EG), based on planning applications, potentially offers such a source of information. The EG data records the value of planning applications and their planned start and finish dates. However, as this data is ex ante and is not correlated with DTI output it is not possible to use this data to describe the volume of actual construction output. Nor is it possible to use the EG planning data to predict DTI construction orders data. Further consideration of the issues raised reveal that it is not practically possible to develop a consistent predictive model of construction output using construction statistics gathered at different stages in the development process.

Wamuziri, S C and Clearie, A G F (2005) Economic feasibility of the proposed Second Forth Road Bridge using public private partnership procurement. Journal of Financial Management of Property and Construction, 10(02), 95–106.