Sophisticated collusive compensation schemes such as assigning future market shares or direct transfers are frequently observed in detected cartels. We show formally why these schemes are useful for dampening deviation incentives when colluding firms are temporary asymmetric. The relative...

Algorithms play an increasingly important role in economic situations. These situations are often strategic, where the artificial intelligence may or may not be cooperative. We study the deter-minants and forms of algorithmic cooperation in the infinitely repeated prisoner’s dilemma. We run a...

We study the effect of entry on the price distribution in the German retail gasoline market. Exploiting more than 700 entries over five years in an event study design, we find that entry causes a persistent first-order stochastic shift in the price distribution. Prices at the top of the...

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....

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...

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...