Events

The next Institute Seminar will take place on Tuesday, October 14, 2014, at 6 pm in room E 10 of the main building.

Panagiotis Tsangaris will lecture on "Capacity constraints in the electricity spot market: between competition law and REMIT". Henri de Belsunce will moderate.

Please be aware that all scholarship holders of the departments for Intellectual Property and Competition Law are expected to attend. A list of participants will be kept.

By invitation only!

We outline a set of steps that could lead to new quantitative analysis and understanding of science policy based on scientifically grounded conceptual framework and large-scale computational analysis of scientific activity. Getting the right conceptual and empirical framework matters, lest resources and people get squandered because incentives are wrong. Getting an empirical framework based on something other than anecdotes matters, to avoid substantive misunderstandings about the process of science. Seizing the opportunity presented by the explosion in digital information about research products and processes, will require both substantial effort to acquire, integrate, curate, and evolve large quantities of information from many sources, and much innovation in both science policy research and computational methods.

In this paper, we design two laboratory experiments to analyze the causal effects of competition on step-by-step innovation. Innovations result from costly R&D investments and move technology up one step. Competition is inversely measured by the ex post rents for firms that operate at the same technological level, i.e. for neck-and-neck firms. First, we find that increased competition leads to a significant increase in R&D investments by neck-and-neck firms. Second, increased competition decreases R&D investments by firms that are lagging behind, in particular if the time horizon is short. Third, we find that increased competition affects industry composition by reducing the fraction of sectors where firms are neck-and-neck. All these results are consistent with the predictions of step-by-step innovation models.