Optimal Collusion-Proof Auctions

We study an optimal collusion-proof auction in an environment where subsets of bidders may collude not just on their bids but also on their participation. Despite their ability to collude on participation, informational asymmetry facing the potential colluders can be exploited significantly to weaken their collusive power. The second-best auction --- i.e., the optimal auction in a collusion-free environment --- can be made collusion-proof, if at least one bidder is not collusive, or there are multiple bidding cartels, or the second-best outcome involves a nontrivial probability of the object not being sold. In case the second-best outcome is not weak collusion-proof implementable, we characterize an optimal collusion-proof auction. This auction involves nontrivial exclusion of collusive bidders --- i.e., the object is not sold to any collusive bidder with positive probability.

Optimal Collusion-Proof Auctions

We study an optimal collusion-proof auction in an environment where subsets of bidders may collude not just on their bids but also on their participation. Despite their ability to collude on participation, informational asymmetry facing the potential colluders can be exploited significantly to weaken their collusive power. The second-best auction --- i.e., the optimal auction in a collusion-free environment --- can be made collusion-proof, if at least one bidder is not collusive, or there are multiple bidding cartels, or the second-best outcome involves a nontrivial probability of the object not being sold. In case the second-best outcome is not weak collusion-proof implementable, we characterize an optimal collusion-proof auction. This auction involves nontrivial exclusion of collusive bidders --- i.e., the object is not sold to any collusive bidder with positive probability

Weak Cartels and Collusion-Proof Auctions

We study collusion in a large class of private-value auctions by cartels whose members cannot exchange monetary transfers among themselves (i.e., weak cartels). We provide a complete characterization of outcomes that are implementable in the presence of weak cartels, and identify optimal collusion-proof auctions for symmetric value distributions. When the density is single-peaked, the optimal collusion-proof auction can be implemented by a procedure that combines a second-price auction with a sequential one-on- one negotiation

Auctions with endogenous participation and quality thresholds : evidence from ODA infrastructure procurement

Infrastructure projects are often technically complicated and highly customized. Therefore, procurement competition tends to be limited. Competition is the single most important factor toward auction efficiency and anti-corruption. However, the degree of competition realized is closely related to bidders'entry decision and the auctioneer's decision on how to assess technical attributes in the bid evaluation process. This paper estimates the interactive effects among quality, entry, and competition. With data on procurement auctions for electricity projects in developing countries, it is found that large electricity works are by nature costly and can attract only a few participants. The limited competition would raise government procurement costs. In addition, high technical requirements are likely to be imposed for these large-scale projects, which will in turn add extra costs for the better quality of works and further limit bidder participation. The evidence suggests that quality is of particular importance in large infrastructure projects and auctioneers cannot easily substitute price for quality.Government Procurement,Investment and Investment Climate,E-Business,Markets and Market Access,Economic Theory&Research

Making corruption harder: asymmetric information, collusion, and crime

We model criminal investigation as a principal-agent-monitor problem in which the agent can bribe the monitor to destroy evidence. Building on insights from Laffont and Martimort (1997) we study whether the principal can profitably introduce asymmetric information between agent and monitor by randomizing the monitor’s incentives. We show it can be the case, but the optimality of random incentives depends on unobserved pre-existing patterns of private information. We provide a data-driven framework for policy evaluation requiring only unverified reports. A potential local policy change is an improvement if, everything else equal, it is associated with greater reports of crime

Weak Cartels and Collusion-Proof Auctions

We study private value auctions in which bidders may collude without using sidepayments. In our model, bidders coordinate their actions to achieve an outcome that interim-Pareto dominates the noncooperative outcome. We characterize auctions that are collusion-proof in the sense that no such coordination opportunities exist, and show that the efficient and revenue maximizing auctions are not collusion-proof unless all bidders exhibit a concave distribution of valuations. We then solve for revenue maximizing collusion-proof auctions. If distributions of valuations are symmetric and single-peaked, the optimal selling mechanism is a standard auction with a minimum bid, followed by sequential negotiation in case no bidder bids above the minimum bid

Efficient collusion in optimal auctions

We study collusion in an IPV auction with binary type spaces. Collusion is organized by a third-party than can manipulate participation decisions. We characterize the optimal response of the seller to different threats of collusion among the bidders. We show that, contrary to the prevailing view that assymmetric information imposes transaction costs in side-contracting, collusion in the optimal auction is efficient when the third-party can implement monetary transfers as well as when it can implement monetary transfers and reallocations of the good. The threat of non-participation in the auction by a subset of bidders is crucial in constraining the seller's profit.COLLUSION; THIRD PARTY; OPTIMAL AUCTION

Quick abnormal-bid-detection method for construction contract auctions

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

Procurement efficiency for infrastructure development and financial needs reassessed

Infrastructure is the engine for economic growth. The international donor community has spent about 70-100 billion U.S. dollars on infrastructure development in developing countries every year. However, it is arguable whether these financial resources are used efficiently, particularly whether the current infrastructure procurement prices are appropriate. Without doubt a key is competition to curb public procurement costs. This paper analyzes procurement data from multi and bilateral official development projects in three infrastructure sectors: roads, electricity, and water and sanitation. The findings show that the competition effect is underutilized. To take full advantage of competition, at least seven bidders are needed in the road and water sectors, while three may be enough in the power sector. The paper also shows that not only competition, but also auction design, especially lot division, is crucial for reducing unit costs of infrastructure. Based on the estimated efficient unit costs, the annual financial needs are estimated at approximately 360 billion U.S. dollars. By promoting competition, the developing world might be able to save at most 8.2 percent of total infrastructure development costs.Transport Economics Policy&Planning,Investment and Investment Climate,E-Business,Debt Markets,Infrastructure Economics