In this paper, we analyze optimal foreign direct investment of a firm which operates in a duopolistic market. We characterize a technology spillover threshold and show that for an intensity of spillovers below this threshold, there is a unique locally asymptotic stable steady state with a...

We study investments in R&D and the formation of R&D clusters of firms which are competitors in the market. In a three stage game, firms first decide on the budget allocated to their R&D department, then form research clusters and finally compete in quantities. The second stage cluster formation...

This paper presents a numerical method for the characterization of Markov-perfect equilibria of symmetric differential games exhibiting coexisting stable steady-states. The method relying on the calculation of 'local value functions' through collocation in overlapping parts of the state space,...

In this paper a quantity-setting duopoly is considered where one firm develops a new product which is horizontally differentiated from the existing product. The main question examined is which strategically important effects occur if the decision to develop the innovation and the decision to...

In this paper a quantity-setting duopoly is considered where one firm develops a new product which is horizontally differentiated from the existing product. The main question examined is which strategically important effects occur if the decision to develop the innovation and the decision to...

This paper explores the idea of using artificial adaptive agents in economic theory. In particular, we use Genetic Algorithms (GAs) to model the learning behavior of a population of adaptive and boundedly rational agents interacting in an economic system. We analyze the behavior of a GA in two...

The safety concerns for autonomous vehicles (AV) is shown a to be roadblock to their adoption. This paper addresses these concerns by studying a unified, game-theoretic framework (leader-follower game) of mixed traffic in which AVs and human-driven vehicles (HV) coexist, with endogenous vehicle...

We study how the use of machine-learning based algorithms for the determination of wage offers affects workers’ wages on online labor platforms. Firms use reinforcement-learning to update posted wages on the platform, and heterogeneous workers send applications based on the posted information....