Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach

Working Paper: NBER ID: w29625

Authors: Kei Kawai; Jun Nakabayashi; Juan M. Ortner; Sylvain Chassang

Abstract: Cartels participating in procurement auctions frequently use bid rotation or prioritize incumbents to allocate contracts. However, establishing a link between observed allocation patterns and firm conduct has been difficult: there are cost-based competitive explanations for such patterns. We show that by focusing on auctions in which the winning and losing bids are very close, it is possible to distinguish allocation patterns reflecting cost differences across firms from patterns reflecting non-competitive environments. We apply our tests to two datasets: the sample of Ohio milk auctions studied in Porter and Zona (1999), and a sample of municipal procurement auctions from Japan.

Keywords: collusion; procurement auctions; bid rotation; regression discontinuity

JEL Codes: L41


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
collusion (D74)incumbency status (J63)
collusion (D74)auction outcomes (D44)
competition (L13)incumbency status (J63)
collusion (D74)backlog (D25)
competition (L13)backlog (D25)

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