This paper investigates games played on bipartite networks by introducing a team production function allowing for any pattern of cross effects between projects and cross effects between agents. By using a new representation of a bipartite network through a multi-layers network, we are able to...

Conventional theories of competition classify contests as being either ‘‘productive,' when the competitive efforts generate a surplus for society, or ‘‘unproductive,' when competition generates no social surplus and merely distributes already existing resources. These two discrete...

Research and development (R&D) collaborations are horizontal agreements among firms to join forces in their inventive activities. As in the context of the recent COVID-19 global pandemic, such collaborations are often promoted with an argument of increased R&D productivity. In numerous contexts,...

We construct an asymmetric duopolistic R&D and production behavior model subject to knowledge spillovers. This model is an extension to the symmetric model of d'Aspremont and Jacquemin (A&J (1988)) and aims to determine the cooperative and non-cooperative R&D strategies for two agents of...

We consider dynamic team production in the presence of uncertainty. Team members receive interim feedback that depends on both their current effort level and the project's uncertain prospects. In this environment, each member can encourage the others by making them more optimistic about the...

For a countable product of complete separable metric spaces with a topology induced by a uniform metric, the set of Borel probability measures coincides with the set of completions of probability measures on the product o-algebra. Whereas the product space with the uniform metric is...

We study an OLG economy where productivity growth comes from two alternative sources: process innovation and learning-by-doing. There is a trade-off between the two in so far as frequent technological updates reduce the scope for learning on existing technologies. A conflict is shown to arise...