The author considers a leader-follower game with output quantities as strategies, so as to demonstrate the reduced advantages of the Stackleberg leader in a stochastic environment with private information. At the equilibrium, the strategy of the leader reveals to the follower information about...

We examine an incumbent's trade-off between the improved efficiency that business expansion facilitates and the signaling role that business expansion plays in conveying information to potential entrants about the state of demand. We demonstrate that both separating and pooling equilibria...

I develop a model to evaluate the profitability of product bundling in the context of negotiations between a monopolist and intermediaries that sell its products to consumers. I investigate whether the monopolist finds it feasible and advantageous to utilize product bundling to block...

Both theoretical and empirical evidence suggest that, in markets with standards competition, strong network effects can make the strong grow stronger and even "tip" the market towards a single, winner-take-all standard. We theorize that the presence of conversion technologies will reduce the...

Tunneling behavior, which is defined as the transfer of assets and profits out of a firm for the benefit of the firms controlling shareholders, has become the focus of increasing attention in the theoretical and empirical literature. There are some corporate governance procedures, however, that...

Product bundling is a business strategy that packages (either physically or logically), prices and sells groups of two or more distinct products or services as a single economic entity. This practice exploits variations in the reservation prices and the valuations of a bundle vis-à-vis its...

Informational assumptions are an important aspect of the study of auctions in economictheory. However, there has been limited research into how the assumptions made by theoristsimpact their results. I explore two different aspects of the information available to biddersin auctions. The...

Adaptive learning is important in dynamic models since it is a process that shows the improvement in the understanding of the agents of the model. Whenever there is a dynamic environment, there is a room for improvement through learning. In this thesis I analyze the adaptive learning of the...