Expenditure Flow Forecasting Models

Skitmore, Martin (1993) Expenditure Flow Forecasting Models. In Economic Evaluation and the Built Environment : Economic Evaluation in Planning and Design, The International Council for Building Research Studies and Documentation CIB W-55 and 95, 6-10 September 1993, Lisbon, Portugal.


The situation is considered where a target contract has commenced, some interim valuations of progress have been made, and estimates of future interim valuations are needed. Three approaches are examined - (1) analytic, (2) synthetic, and (3) hybrid. Using six 2 parameter models - (1) DHSS, (2) Kenley-Wilson, (3) Berny-Howes, (4) cumulative logistic, (5) cumulative normal, and (6) cumulative lognormal - it is shown that, with the data used, that the best hybrid models produced the most accurate ex-ante expenditure flow forecasts from 10 to 90 percent contract duration and all the hybrid models produced the most accurate ex-ante expenditure flow forecasts from 10 to 50 percent contract duration.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® 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 the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

904 since deposited on 21 Jun 2006
50 in the past twelve months

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.

ID Code: 4535
Item Type: Conference Paper
Refereed: Yes
Keywords: Expenditure flow models, forecasts, non, linear regression, cross validation
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 1993 (please consult author)
Deposited On: 21 Jun 2006 00:00
Last Modified: 09 Jun 2010 12:33

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page