This paper tests the pro-competitive effect of trade in the product and labour markets of UK manufacturing sectors between 1988 and 2003 using a two-stage estimation procedure. In the first stage, we use data on 9820 firms from twenty manufacturing sectors to simultaneously estimate mark-up and...

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...

The paper revisits the problem of wage bargaining between a firm and multiple workers. We show that the Subgame Perfect Equilibrium of the extensive-form game proposed by Stole and Zwiebel (1996a) does not imply a profile of wages and profits that coincides with the Shapley values as claimed in...

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...

This study uses the methods of experimental economics to investigate possible causes for the failure of the Hotelling rule for nonrenewable resources. We argue that as long as resource stocks are high enough, producers may choose to (partially) ignore the dynamic component of their production...

We study road supply by competing firms between a single origin and destination. In previous studies, firms simultaneously set their tolls and capacities while taking the actions of the others as given in a Nash fashion. Then, under some widely used technical assumptions, firms set a...

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...