This paper proposes a quantal response learning model to explain sellers' pricing and learning behaviour observed in a laboratory Bertrand market experiment. In the model, sellers hold beliefs about their opponents' strategies and play quantal best responses to these beliefs. After each round,...

This paper analyses dynamic pricing in markets with network externalities. Network externalities imply demand inertia, because the size of a network increases the usefulness of the product for consumers. Because past sales increase current demand, firms have an incentive to set low introductory...

This paper develops a quantal-response adaptive learning model which combines sellers' bounded rationality with adaptive belief learning in order to explain price dispersion and dynamics in laboratory Bertrand markets with perfect information. In the model, sellers hold beliefs about their...

This paper analyses dynamic pricing in markets with network externalities. Network externalities imply demand inertia, because the size of a network increases the usefulness of the product for consumers. Since past sales increase current demand, firms have an incentive to set low introductory...