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Quick Abnormal-Bid-Detection Method for Construction Contract Auctions

delete2015-07-01
delete27
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OA
AI
P
Pablo Ballesteros‐Pérez *
M
Martin Skitmore
R
Raj Das
M
María Luisa del Campo-Hitschfeld
DOI:10.1061/(ASCE)CO.1943-7862.0000978delete
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Abstract

Abstract

En 中文
Noncompetitive bids have recently become a major concern in both public and private sector construction contract auctions. Consequently, several models have been developed to help identify bidders potentially involved in collusive practices. However, most of these models require complex calculations and extensive information that is difficult to obtain. The aim of this paper is to utilize recent developments for detecting abnormal bids in capped auctions (auctions with an upper bid limit set by the auctioner) and extend them to the more conventional uncapped auctions (where no such limits are set). To accomplish this, a new method is developed for estimating the values of bid distribution supports by using the solution to what has become known as the German Tank problem. The model is then demonstrated and tested on a sample of real construction bid data, and shown to detect cover bids with high accuracy. This paper contributes to an improved understanding of abnormal bid behavior as an aid to detecting and monitoring potential collusive bid practices. This work is made available under the terms of the Creative Commons Attribution 4.0 International license, http://creativecommons.org/licenses/by/4.0/.
Keywords:
Bidding
Abnormal bid
Bid covering
Collusion
German Tank problem
Construction auctions
Contracting
AI Summary

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Journal

J
Journal of Construction Engineering and Management
IF:
5.1
Papers:
5.1K
Citations:
1.4W

Organization

U
University of Auckland
Scholars:
2.3W
Papers: 2.4W
Citations: 3.3W
U
universidad de talca
Scholars:
2.5K
Papers: 2.4K
Citations: 1
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