We develop a method for detecting cartels in multistage auctions. Our approach allows a firm to be collusive when facing members of its cartel yet competitive when facing others. Intuitively, as initial bids are shaded, close initial bids not only imply similar costs but also provide an...

We develop a tractable model of competitive price cycles where prices are chosen alternatingly and consumers have heterogenous information. The model yields sharp empirical predictions about price patterns, impact of captive consumers and pass-through. Using rich station-level price data from...

Using a sample of listed Chinese firms from 2007 to 2020, we investigate the governance implications of cross-ownership in corporate bond markets. We find that cross-ownership significantly reduces bond issuance spreads, suggesting that synergistic governance effects outweigh potential collusion...

We study the propensity of independent algorithms to collude in repeated Cournot duopoly games. Specifically, we investigate the predictive power of different oligopoly and bargaining solutions regarding the effect of asymmetry between firms. We find that both consumers and firms can benefit...

Competition authorities impose substantial penalties on firms engaging in illegal pricefixing. We examine how basing cartel fines on either revenue, profit, or price overcharge influences cartel and market prices, as well as cartel incidence and stability. In an infinitely repeated Bertrand...

Collusive agreements in the form of cartels among firms are complex structures. The involved firms need to agree on prices and sales quotas that are legally not enforceable. Market characteristics that foster cartels’ failure or success are widely examined. However, the interplay between the...

We investigate the competitive effects of spot-price contracting, in which a buyer and seller contract to transact at a future date at the price prevailing in that market at that future date (the ``spot price''); such contracts are ubiquitous in the beef-processing industry, among others. We...

Successful upstream collusion must satisfy both the incentive constraint (keeping cartel members in line) and the compensation constraint (preventing lawsuits from downstream firms). Our analysis shows that there is a non-monotonic and inverted U-shaped relationship between cartel incidence and...

We analyze Stackelberg leadership in a first-price auction. Leadership is induced by an information system, represented by a spy, that leaks one bidder's bid before others choose their bids. However, the leader may secretly revise his bid with some probability; therefore, the leaked bid is only...

We introduce evolutionary game method to analyze low-price collusion in inquiry market of Sci-Tech Innovation Board of China (SIBC) from the perspective of strategic interaction between large institutional investors (LIIs), small and medium-sized institutional investors (SMIIs), and supervision...

We provide a novel theory of harm for resale price maintenance (RPM). In a model with two manufacturers and two retailers, we show that RPM facilitates manufacturer collusion when retailers have alternatives to selling a manufacturer's product. Because of the alternatives, manufacturers can only...

This paper investigates the collusive and competitive effects of algorithmic price recommendations on market outcomes. These recommendations are often non-binding and common in many markets, especially on online platforms. We develop a theoretical framework and derive two algorithms that...

Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both firms employ the identical price-setting...

How much does it hurt seller revenue if some bidders know that others are colluding? Using a simple model of first and second price Independent Private Value auctions with uniformly distributed values where a single bidder knows privately of the existence of collusion by others, we show that...

The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets. Alongside the benefits, it raises concerns for collusion. This study first develops a model to explore the possibility of collusion among informed speculators in a...

We examine a model in which one firm uses a pricing algorithm that enables faster pricing and multi-period commitment. We characterize a coercive equilibrium in which the algorithmic firm maximizes its profits subject to the incentive compatibility constraint of its rival. By adopting an...

Das Kartellschadensersatzrecht hat in den vergangenen Jahren enorm an Aufmerksamkeit und Bedeutung gewonnen. Dabei hat sich der Diskurs jedoch bislang auf die Klagen unmittelbarer und mittelbarer Abnehmer fokussiert. Die vorliegende Arbeit stellt die Frage, ob daneben auch Mitbewerbern von...

To make sense of mixed empirical evidence on the pricing rigidity of cartels, this paper studies how colluding firms price their goods in a model where firms have private marginal costs and sell to consumers with search costs. In this model, firms repeatedly interact in selling a homogeneous...

We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

Many cartels are formed by individual managers of different firms, but not by firms as collectives. However, most of the literature in industrial economics neglects individuals' incentives to form cartels. Although oligopoly experiments reveal important insights on individuals acting as firms,...

Many cartels are formed by individual managers of different firms, but not by firms as collectives. However, most of the literature in industrial economics neglects individuals' incentives to form cartels. Although oligopoly experiments reveal important insights on individuals acting as firms,...

We study empirically the price effects of upstream cartels that sell through downstream retailers to final consumers. We focus on a German coffee producer cartel that colluded under two different regimes: (i) involving wholesale prices in 2003 and (ii) with additional resale price maintenance...

We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically learns to collude, resulting in supracompetitive prices and extra profits for the firms sustained by collusive equilibria. A detailed analysis of the inner workings of this...