A novel debate within competition policy and regulation circles is whether autonomous machine learning algorithms may learn to collude on prices. We show that when fims face short-run price commitments, independent Q-learning (a simple but well-established self-learning algorithm) learns to...

We experimentally study the effect of information about competitors ́actions on cartel stability and firms ́incentives to form cartels in Cournot markets. As in previous experiments, markets become very competitive when individualized information is available and participants cannot...

Basing-point pricing is known to have been abused by geographically dispersed firms in order to eliminate competition on transportation costs. This paper develops a topographic test for collusive basing-point pricing. The method uses transaction data (prices, quantities) and customer project...

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...

Firms signal high quality through high prices even if the market structure is highly competitive and price competition is severe. In a symmetric Bertrand oligopoly where products may differ only in their quality, production cost is increasing in quality and the quality of each firm’s product...

We consider an oligopolistic market where firms compete in price and quality and where consumers are heterogeneous in knowledge: some consumers know both the prices and quality of the products offered, some know only the prices and some know neither. We show that two types of signalling...

We present a strategic game of pricing and targeted-advertising. Firms cansimultaneously target priceadvertisements to different groups of customers, or to the entiremarket. Pure strategy equilibria do not exist and thus marketsegmentation cannot occur surely. Equilibria exhibit random...