The article proposes an evolutionary game theoretical analysis of quality and price competition in oligopoly. Using the notion of a finite population evolutionarily stable strategy (FPESS) defined by Schaffer (1989), the relative payoff maximizing behavior is compared with the absolute payoff...

We study a duopoly where the two price setting firms have symmetric information. The firms produce substitute goods with a state dependent common value. The information that is available to both firms about the unknown state of nature is also available to the consumers, who also have access to...

The need to give incentives is usually absent in the literature on minimum wages. However, especially in the service sector it is important how well a job is done, and employees must be incentivized to perform accordingly. Furthermore, many aspects regarding service quality cannot be verified,...

The corporate finance literature documents that managers tend to over-invest in their companies. A number of theoretical contributions have aimed at explaining this stylized fact, most of them focusing on a fundamental agency problem between shareholders and managers. The present paper shows...

We explore how inherent preferences for reciprocity and repeated interaction interact in an optimal incentive system. Developing a theoretical model of a long-term employment relationship, we first show that reciprocal preferences are more important when an employee is close to retirement. At...

We propose an extension to smooth fictitious play and prove that play converges to an ε-Markov perfect equilibrium with probability one in a class of stochastic games known as Markov potential games. We then prove a partial Folk theorem for repeated games under one-period perfect monitoring. We...

We introduce a model of oligopoly dynamic pricing where firms with limited capacity face a sales deadline. We establish conditions under which the equilibrium is unique and converges to a system of differential equations. Using unique and comprehensive pricing and bookings data for competing...