Cost overruns and demand shortfalls – deception or selection?
Jonas Eliasson (jonas.eliasson@liu.se) and
Mogens Fosgerau
MPRA Paper from University Library of Munich, Germany
Abstract:
A number of highly cited papers by Flyvbjerg and associates have shown that ex ante infrastructure appraisals tend to be overly optimistic. Ex post evaluations indicate a bias where investment costs are higher and benefits lower on average than predicted ex ante. These authors argue that the bias must be attributed to intentional misrepresentation by project developers. This paper shows that the bias may arise simply as a selection bias, without there being any bias at all in predictions ex ante, and that such a bias is bound to arise whenever ex ante predictions are related to the decisions whether to implement projects. Using a database of projects we present examples indicating that the selection bias may be substantial. The examples also indicate that benefit-cost ratios remains a useful selection criterion even when cost and benefits are highly uncertain, gainsaying the argument that such uncertainties render cost-benefit analyses useless.
Keywords: cost overruns; cost escalation; forecast accuracy; cost-benefit analysis; appraisal; selection bias; winner’s curse (search for similar items in EconPapers)
JEL-codes: H4 H43 L2 R4 R42 (search for similar items in EconPapers)
Date: 2013
New Economics Papers: this item is included in nep-cdm, nep-ppm and nep-tre
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/49744/2/MPRA_paper_49744.pdf original version (application/pdf)
Related works:
Journal Article: Cost overruns and demand shortfalls – Deception or selection? (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:49744
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).