We study from both a theoretical and an empirical perspective how a network of military alliances and enmities affects the intensity of a conflict. The model combines elements from network theory and from the politico-economic theory of conflict. We postulate a Tullock contest success function...

We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are formed on the basis of agents' centrality and have an exponentially distributed life time. We use stochastic stability to identify the networks to which the network formation...

We introduce a new model for the evolution of networks of firms exchanging knowledge in R&D partnerships. Innovation is assumed to result from the recombination of knowledge among firms in an R&D intensive industry. The decision of two firms to establish a new partnerships or to terminate an...

We investigate the efficiency and stability of R&D networks in a model with network-dependent indirect spillovers. We show that the efficient network structure critically depends on the marginal cost of R&D collaborations. When the marginal cost is low, the complete graph is efficient, while...

We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are formed on the basis of agents' centrality and have an exponentially distributed life time. We use stochastic stability to identify the networks to which the network formation...

In this paper we study the coevolutionary dynamics of knowledge creation, diffusion and the formation of R&D collaboration networks. Differently to previous works, knowledge is not treated as an abstract scalar variable but represented by a portfolio of ideas that changes over time through...

We study from both a theoretical and an empirical perspective how a network of military alliances and enmities affects the intensity of a conflict. The model combines elements from network theory and from the politico-economic theory of conflict. We obtain a closed-form characterization of the...

In this paper we analyze R&D collaboration networks in industries where firms are competitors in the product market. Firms' benefits from collaborations arise by sharing knowledge about a cost-reducing technology. By forming collaborations, however, firms also change their own competitive...

We analyze binary choice models in communication networks, in which both, the formation of links in the network as well as the action choices are endogenous. We provide a complete characterization of the equilibrium action choices and networks, where agents choose their strategies - actions and...

We analyze the endogenous formation of R&D networks, where firms are active in different product markets and can benefit from R&D spillovers form collaborating firms within or across different industries. R&D spillovers help firms to introduce process innovations to lower their production costs....