The accuracy of pre-tender building price forecasts: An analysis of USA data
For client expenditure management, risk analysis demands good estimates of the range of possible expenditures likely to occur and their probability of occurrence, while risk management is aided by reducing the range of possibilities.
This paper describes the analysis of a new and updated data set of the pre-tender estimating performance of a USA consulting organisation. It is shown that, with a coefficient of variation of 7.82%, the organisation is the leading non-contractor of those surveyed to date. The analysis then continues to seek a means of improving the estimating performance further by the empirical identification of factors influencing forecasting accuracy. The result of this is to show that, after partialling out the effects of confounding variables, year by year changes account for all the systematic errors that could be detected. These changes are then shown to be significantly correlated with the USA annual inflation rate and a regression model is used to examine the possible effects of adjusting for this in the estimation process.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|Keywords:||Accuracy, pre, tender forecasts, building prices, market conditions|
|Subjects:||Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Quantity Surveying (120203)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2000 The Australian Institute of Quantity Surveyors|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||16 May 2006|
|Last Modified:||09 Jun 2010 12:32|
Repository Staff Only: item control page