An integrated regression analysis and time series model for construction tender price index forecasting
Series: Construction Management and Economics ; (22) June 2004, 483-493(11)Publication details: 2004Subject(s): Summary: Looks at how clients can be kept informed of their likely future financial commitments and cost implications as the project design evolves. Suggests this requires estimation of building cost based on historic cost data which is updated by a forecasted tender price index. The reliability of the estimates depends on accurate projections being obtained for the forthcoming quarters. However, prediction of such price movement requires accurate judgment of future market conditions, such as inflation. Analyses the use of an integrated regression analysis and time series model to aid prediction of future costs. Tables, diagrams, formulae, graphs and references.| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Journal article | London Journal article | ABS67995 (Browse shelf(Opens below)) | 1 | Available | 126771-1001 |
Looks at how clients can be kept informed of their likely future financial commitments and cost implications as the project design evolves. Suggests this requires estimation of building cost based on historic cost data which is updated by a forecasted tender price index. The reliability of the estimates depends on accurate projections being obtained for the forthcoming quarters. However, prediction of such price movement requires accurate judgment of future market conditions, such as inflation. Analyses the use of an integrated regression analysis and time series model to aid prediction of future costs. Tables, diagrams, formulae, graphs and references.