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Raftery curve construction for tender price forecasts

Author

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  • Martin Skitmore

Abstract

John Raftery (1993), in his Inaugural Lecture at the University of Greenwich, suggested that project cost estimates be presented in the form of cumulative probability functions (termed here 'Raftery curves') rather than the current practice of single-point estimates. This paper describes a method for the empirical construction of Raftery curves for tender price forecasts, which then is applied to ten previously published data sets gathered throughout the world. In comparing the resulting curves, the most consistent feature is shown to be the shift associated with to the number of bidders entering bids for contracts. This is examined both in terms of bias and consistency. Contrary to some previous studies, no evidence is found of any trends related to the value size of projects.

Suggested Citation

  • Martin Skitmore, 2002. "Raftery curve construction for tender price forecasts," Construction Management and Economics, Taylor & Francis Journals, vol. 20(1), pages 83-89.
    • Handle: RePEc:taf:conmgt:v:20:y:2002:i:1:p:83-89
    DOI: 10.1080/01446190110093551
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    Citations

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    Cited by:

    1. Igor Peško & Vladimir Mučenski & Miloš Šešlija & Nebojša Radović & Aleksandra Vujkov & Dragana Bibić & Milena Krklješ, 2017. "Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM," Complexity, Hindawi, vol. 2017, pages 1-13, December.
    2. Stephen Ngai & Derek Drew & H. P. Lo & Martin Skitmore, 2002. "A theoretical framework for determining the minimum number of bidders in construction bidding competitions," Construction Management and Economics, Taylor & Francis Journals, vol. 20(6), pages 473-482.
    3. Xiaohong Li & John Ogier & John Cullen, 2006. "An economic modelling approach for public sector construction workload planning," Construction Management and Economics, Taylor & Francis Journals, vol. 24(11), pages 1137-1147.

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