Increasingly, algorithms are supplanting human decision-makers in pricing goods and
services. To analyze the possible consequences, we study experimentally the behavior of …

This paper discusses whether self-learning price-setting algorithms can coordinate their
pricing behavior to achieve a collusive outcome that maximizes the joint profits of the firms …

Collusive practices continue to be a significant threat to competition and consumer welfare. It
should be of utmost importance for academic research to provide the theoretical and …

Algorithms offer a legal way to overcome some of the obstacles to profit-boosting
coordination, and create a jointly profitable status quo in the market. While current research …

This paper examines whether the conclusions of standard supply-chain models carry over to
repeated supply-chain relationships. The past models assume profit-maximizing agents in …

We experimentally study effort provision and network formation in the linear-quadratic game
characterised by positive externality and complementarity of effort choices among network …

Increasingly, firms use algorithms powered by artificial intelligence to set prices. Previous
research simulated interactions among Q-learning algorithms in an oligopoly model of price …

OLIGOPOLY COORDINATION, ECONOMIC ANALYSIS, AND THE PROPHYLACTIC ROLE
OF HORIZONTAL MERGER ENFORCEMENT Page 1 ARTICLE OLIGOPOLY …

We study how commitment of entrepreneurs to sustainability practices might effectively
improve the social and environmental impact of market competition. To this end we devised …

This paper investigates pricing in laboratory markets when human players interact with an
algorithm. We compare the degree of competition when exclusively humans interact to the …