This paper proposes a bayesian methodology to treat the who's who problem arising in individual level data sets such as patent data. We assess the usefullness of this methodology on the set of all French inventors appearing on EPO applications from 1978 to 2003.

The modelling of networks formation has recently became the object of an increasing interest in economics. One of the important issues raised in this literature is the one of networks efficiency. Nevertheless, for non trivial payoff functions, searching for efficient network structures turns out...

This paper proposes a theory for establishing dominance relations between universities on the basis of their scientific production and the number of citations their publications received in given time window. We apply this theory to the ranking of French Universities.

In this article, we propose an extension of the concept of stochastic dominance intensively\r\nused in economics for the comparison of composite outcomes both the quality and the\r\nquantity of which do matter. Our theory also allows us to require unanimity of judgement\r\namong new classes of...

This paper investigates the determinants of co-inventor tie formation using micro-data on genomic patents from 1990 to 2006 in France. We consider in a single analysis the relational and proximity perspectives that are usually treated separately. In order to do so, we analyse the determinants of...

This paper investigates the determinants of co-inventor tie formation using micro-data on genomic patents from 1990 to 2006 in France. In a single analysis, we consider the relational and proximity perspectives that are usually treated separately. In order to do so, we analyse various forms of...

This paper investigates how network relations, proximity and their interplay affect collaboration and their inventive performance. Using patent citations as a proxy for patent quality, we investigate how the network and proximity characteristics of co-inventors enable them to access different...