Posted by Social Science Research Network
Detecting Large-Scale Collusion in Procurement Auctions – Kei Kawai (New York University (NYU) – Leonard N. Stern School of Business – Department of Economics) and Jun Nakabayashi (Tohoku University)
ABSTRACT: This paper documents evidence of widespread collusion among construction firms using a novel dataset covering most of the construction projects procured by the Japanese national government from 2003 to 2006. By examining rebids that occur for auctions when all (initial) bids fail to meet the reserve price, we identify collusion using ideas similar to regression discontinuity. We identify about 1,000 firms whose conduct is inconsistent with competitive behavior. These bidders were awarded about 7,600 projects, or close to one fifth of the total number of construction projects in our sample. The value of these projects totals about $8.6 billion.(Cade).
Featured News
Massachusetts AG Sues Insulin Makers and PBMs Over Alleged Price-Fixing Scheme
Jan 14, 2025 by
CPI
Apple and Amazon Avoid Mass Lawsuit in UK Over Alleged Collusion
Jan 14, 2025 by
CPI
Top Agent Network Drops Antitrust Suit Against National Association of Realtors
Jan 14, 2025 by
CPI
Weil, Gotshal & Manges Strengthens Antitrust Practice with New Partner
Jan 14, 2025 by
CPI
Russian Court Imposes Hefty Fine on Google for Non-Compliance with Content Removal Orders
Jan 14, 2025 by
CPI
Antitrust Mix by CPI
Antitrust Chronicle® – CRESSE Insights
Dec 19, 2024 by
CPI
Effective Interoperability in Mobile Ecosystems: EU Competition Law Versus Regulation
Dec 19, 2024 by
Giuseppe Colangelo
The Use of Empirical Evidence in Antitrust: Trends, Challenges, and a Path Forward
Dec 19, 2024 by
Eliana Garces
Some Empirical Evidence on the Role of Presumptions and Evidentiary Standards on Antitrust (Under)Enforcement: Is the EC’s New Communication on Art.102 in the Right Direction?
Dec 19, 2024 by
Yannis Katsoulacos
The EC’s Draft Guidelines on the Application of Article 102 TFEU: An Economic Perspective
Dec 19, 2024 by
Benoit Durand