We introduce a dynamic price competition model for duopsony. Each buyer receives a privately observed profit shock in each period and uses a publicly observable and retroactive price to entice sellers to sell to her in the upcoming period. The price competition scheme captures sellers’...

We study a discrete time dynamic game of price competition with spatially differentiated products and price adjustment costs. We characterise the Markov perfect and the open-loop equilibrium of our game. We find that in the steady state Markov perfect equilibrium, given the presence of...

We generalize recent models of dynamic price competition where sellers benefit from learning-by-doing by allowing for long-lived strategic buyers, with a single parameter capturing the extent to which each buyer internalizes future buyer surplus. Many of the equilibria that exist when buyers are...

We study a discrete time dynamic game of price competition with spatially differentiated products and price adjustment costs. We characterise the Markov perfect and the open-loop equilibrium of our game. We find that in the steady state Markov perfect equilibrium, given the presence of...

In recent years antidumping protection has spread throughout the world. Evidence shows that antidumping often targets R&D-intensive sectors, raising a concern that it may adversely affect worldwide investments in R&D. We investigate this issue in a model of reciprocal dumping extended to a...

We consider the model of price competition for a single buyer among many sellers in a dynamic environment. The surplus from each trade is allowed to depend on the path of previous purchases, and as a result, the model captures phenomena such as learning by doing and habit formation in...

We study dynamic price competition between sellers offering differentiated products with limited capacity and a common sales deadline. In every period, firms simultaneously set prices, and a randomly arriving buyer decides whether to purchase a product or leave the market. Given remaining...